Dynamically Deployable Self Configuring Distributed Network Management System

ABSTRACT

Systems, software, and methods for managing networks of connected electronic devices are described. In one example, network management policy and network management applications are transferred automatically upon detection and identification of a new device, protocol or application on the network. In another example, information related to at least one aspect of the network is obtained by an NMAS, and at least one applicable management policy is identified by the NMAS; and the identified policy is used to manage at least one aspect of the network&#39;s operation.

1 CROSS REFERENCE TO RELATED U.S. PATENT APPLICATIONS

This application claims the benefit of priority from provisionalapplication No. 61/104,426 filed Oct. 10, 2008 which is incorporatedherein by reference. The present application is related to U.S. patentapplication Ser. No. 11/175,407 (Docket No. 4572-3) filed on 7 Jul.2005, and U.S. patent application Ser. No. 12/051,125 (Docket No.4572-7) filed on 19 Mar. 2008; the entireties of both applications areincorporated herein by reference for all purposes.

2 BACKGROUND OF THE TECHNOLOGY HEREIN

1. Field

The exemplary, illustrative, technology herein relates to systems,software, and methods for managing the operation of networks composed ofvarious and disparate electronic devices. More particularly, theexemplary, illustrative, technology herein provides systems, software,and methods for automatically configuring and enabling networkmanagement and monitoring software and systems for managing andmonitoring the operation of networks composed of various and disparateelectronic devices. The technology herein has applications in the areasof network management, computer science, electronics, and electroniccommerce.

2. Background

Computer network technology has experienced phenomenal growth over thepast two decades, from the esoteric experimental defense-relatedprojects known to only a handful of electronics and military specialistsin the 1960s and 1970s, to the epicenter of the so-called dot-com stockmarket boom of the late 1990s. Today, tens, perhaps hundreds, ofmillions of people all over the globe rely on computer networks fortheir jobs, education, and entertainment. In the industrialized world,access to computer networks appears to be almost ubiquitous. Examplesinclude not only the traditional TCP/IP-based networks, such as theInternet and home or office Local Area Networks (LANs), but also includebuilding control networks for managing a building's internalenvironment, networks of sensors for monitoring air quality, factoryfloor automation, and combined communications systems connectingpreviously disparate systems. Non-traditional networks, such as thoseused for monitoring and control of factory automation or buildingsystems are referred to collectively herein as “SCADA” networks. SCADAstands for “Supervisory Control And Data Acquisition”. SCADA networksystems provide process supervisory control and data collectioncapabilities used to operate many industrial systems today. Industrialprocesses and machines are controlled by SCADA systems using industrialcontrollers such as programmable logic controllers (PLCs). In recentyears, PLCs have become better integrated with TCP/IP-based networks,but often still require custom applications for control and management.Other industrial controllers have not migrated to TCP/IP due to varioustechnical and other considerations. Thus, in general, the term “network”or “computer network” includes both “traditional networks,” i.e., thoseusing TCP/IP and/or Simple Network Management Protocol (SNMP) protocols,and “non-traditional” networks that do not have either an SNMP (or otherTCP/IP management stack), an SNMP Object ID (OID)-based management datahierarchy, or other aspects required for “traditional” networkmanagement functions to operate as understood by those having ordinaryskill in the art. Typically, non-traditional networks use protocols suchas Controller Area Network (CAN)bus, used in vehicles, industrialautomation and medical devices and IEEE 488 or General Purpose InterfaceBus (GPIP). The differentiation of traditional and non-traditionalcomputer networks will be apparent to those persons having ordinaryskill in the art.

As used herein, “network” or “computer network” includes bothtraditional and non-traditional networks as just defined. A “network” isa configuration of devices and software that are in mutual communicationand can exchange information, including data and instructions. Suchcommunication is accomplished by the presence of a direct physicalconnection between devices (i.e., wired communication) and/or indirectlyby electromagnetic or other non-physically connected communication(i.e., wireless communication), using whatever protocols are extantbetween the two devices. A network can include arbitrary numbers andtypes of devices, systems, and applications, which, in some exemplary,illustrative, non-limiting embodiments, function in accordance withestablished policies. In some networks the devices, systems andapplications comprising the network can change over time, as can theirconfigurations, locations and other parameters as devices are connectedor disconnected from the network whether purposely or inadvertently.

Examples of devices, systems, and applications that can comprise atraditional network consistent with the technology described hereininclude, without limitation:

-   -   Traditional network infrastructure devices such as routers,        switches, and hubs;    -   Traditional networked computing assets, such as mainframes,        servers and workstations;    -   Traditional network links, including dedicated and dial-up        connections and related devices (e.g., Digital Subscriber Loop        (DSL) connections, modems, concentrators, and the like);    -   Industrial devices, such as those controlled by programmable        logic controllers (PLCs), embedded computers, or other        controllers that can support traditional network protocols;    -   Network services, such as Simple Object Access Protocol        (SOAP)-based application servers, web services, network        infrastructure services such as Domain Name System (DNS) and        Dynamic Host Configuration Protocol (DHCP), and file sharing        services;    -   Applications, such as databases (e.g., those sold commercially        by Oracle (Redwood City, Calif.), IBM (Armonk, N.Y.), and        Microsoft (Redmond, Wash.)), e-mail systems (e.g., sendmail,        POP/IMAP servers); customer relationship management (CRM)        systems, and enterprise management applications (e.g. those sold        commercially by Oracle and SAP (Walldorf, Federal Republic of        Germany));    -   Consumer appliances (e.g., “smart” cell phones, audio/visual        equipment, network-connected home lighting controllers); and    -   Systems acting as “gateways” to non-traditional networks, that        allow data to be transferred between traditional and        non-traditional networks due to their connectivity to both types        of network, and ability to use appropriate networking protocols        for each.

Examples of devices, systems, and applications that can comprise anon-traditional network consistent with the technology described hereininclude, without limitation:

-   -   Dedicated building control components, such as thermostats,        furnace and chiller controls;    -   Vehicle vessel and aircraft control and communication systems    -   Medical device control and communication systems    -   Ladder logic controllers, such as those used to operate elevator        or other systems;    -   Scales, flow or pressure gauges, tachometers, or other        measurement devices;    -   Meters and other devices for the display of aspects of system        status, usually in “real time”;    -   Sensors, including various types of embedded sensors and arrays        of sensors, including RFID sensors, bar code readers or video        scanners;    -   Industrial device controllers, such as PLCs, embedded computers,        Coordinate Measuring Machines (CMMs), and similar devices when        connected on non-TCP/IP based networks;    -   Data acquisition and Control networks, such as DeviceNet,        CANopen, ModBus, VLXI, VME, IEEE 1394, and IEEE 488;    -   Process automation robotics;    -   Telephony-based networks, including analog and digital cellular        networks;    -   Power grid networks for distributing electrical power    -   Consumer appliances (e.g., cell phones, audio-visual equipment,        information kiosks); and    -   Dedicated infrastructure components (e.g. Private Branch        Exchange (PBX's), automated dialers, and call routing systems).

The network configuration can be either static (i.e., the devices thatcomprise the network do not change during network operation) or theconfiguration can be dynamic (i.e., devices may be connected to, ordisconnected from, the network during operation). In some instancesconnection or disconnection of devices from the network can result insegmentation of the network, where some parts of the network loseconnectivity with other parts of the network, while retainingconnectivity between devices in each part (e.g. when a router devicethat connects two network segments is disconnected or fails, the twonetwork segments lose connectivity with each other, but retainconnectivity between devices within each segment).

Not only have computer networks become more common, but the complexityof these electronic webs has increased as well. Today, a networkadministrator must deal simultaneously with a myriad of differentdevices, manufacturers, network types, and protocols, as well as supportthe ad-hoc attachment and removal of devices from the network asportable wireless devices automatically connect and disconnect from thenetwork infrastructure. Often the coordination among the developers ofthe software, hardware, and firmware of networked devices is loose atbest. Devices must be able to communicate properly across the networkwithout interfering with each other, but this is not always the casewhether due to design, malfunction, misconfiguration, or misuse. Inparticular, administrators must be able to identify warnings andtroubleshoot abnormal behavior on the network and network-attachedsystems before risk to network integrity or availability occurs.Non-traditional networks (e.g. CANbus, IEEE 488) and the devicesconnected to them are often used in real-time operation of SCADAsystems, increasing the urgency that these networks and devices beeffectively managed. Traditional management systems, i.e., managementsystems that are used to manage traditional computer networks, typicallydo not integrate with non-traditional networks and traditionalmanagement paradigms are generally not extensible to supportnon-traditional networks and devices.

To handle the growing network management workload, various networkmanagement devices (“NMDs”) have been developed, examples of which aredescribed in the above-incorporated '407 and '125 Applications. By wayof illustration, the network management device (NMD) of U.S. patentapplication Ser. No. 12/051,125 is a network appliance device,comprising hardware and software components, designed to flexiblyoperate upon traditional, SCADA, and Statistical Process Control (SPC)networks that are connected using a variety of transports, gateways, andnetworks. Traditional TCP/IP-based controllers, PC-connected orconnections using gateway-style interface applications, and directdevice control mechanisms are all supported using the same NMD. Variousdynamic application(s) and templates interact with a collector installedupon the NMD to provide capabilities to interact with both traditionaland non-traditional networks, either individually or in hybrid networksthat combine both traditional- and non-traditional networks. Thecollector relies upon pre-installed network interface software presenton the NMD to permit access to network data and devices through theNMD's network interface hardware. The collector and other NMD softwarealso rely on known NMD operating system capabilities, such asinput/output (I/O) libraries or services, and inter-processcommunication capabilities for access to non-volatile data storagesystems, such as file systems on disk drives or relational databaseservers, to store collected data, retrieve dynamic application programsand templates, and other data resources necessary to the functioning ofthe NMD. NMD software is created with an understanding of thecapabilities of the NMD hardware, such as CPU type, processing power,RAM memory capacity, I/O throughput, non-volatile storage capacity,number and type of network interfaces, so as to guarantee that NMDsoftware can execute and provide the required level of performance toadequately monitor the network it is installed upon.

Current non-NMD network management systems are often complex and do notoperate well for most users. First, these systems can have onerousdeployment and operation requirements. Many require specializedexpertise just to install and configure the network management softwareand additional applications. Others require additional expertise-basedconfigurations of the software and applications to monitor a network,including: complex collections of vendor-specific applications tomonitor disparate hardware and software and extensive custom programmingto monitor applications.

Second, many non-NMD management systems can monitor only a limitednumber of attributes per network connected device, use a single networkmanagement protocol, or do not monitor system, application status,network performance, or quality of service (“QoS”) attributes.Furthermore, many non-NMD management systems do not cross-correlatebetween multiple network services and check for discrepancies betweennetwork services that provide coordinated services. Moreover, manynetwork management systems are designed under the presumption that thenetwork infrastructure is always functioning; and therefore may not bereliable when network service interruptions or degradations occur. Eventhe NMD has limitations in this area, since it can only monitor thenetwork as seen from the point it is connected to, and when failures ormisconfiguration of network components results in breaks in the networktopology, the NMD can no longer monitor those network segments on thefar side of a break in the network's connectivity. In many cases,management systems are tied to particular hardware devices, such as“sniffers” (e.g. the Portable Analysis System, sold by NetworkInstruments of Minneapolis, Minn.), or the NMD referred to above. Havinga specific hardware component in the management system simplifies theinitial deployment of the system, but places limitations on speed andflexibility of response to changes in network configuration, such astemporary network partitioning due to router failure ormisconfiguration, and can involve other adverse factors such as expense,delay, and infrastructure requirements (e.g. space, power and cabling)when networks grow, change topology, or experience changes in trafficload, whether temporarily or permanently.

Third, the day-to-day operation of most current network managementproducts requires skilled network operations staff to configure andmaintain the management software and network, including adding andremoving devices and device configurations as the network topologychanges. Configuration typically requires that the staff manuallycollect information about network management applications (andmanagement information base (“MIB”) configurations) used to manage thedevices that are part of the network from individual devicemanufacturers, manually install and configure the software, and thenmanually set the thresholds for sending alerts. Many network managementsystems and applications are limited to using a single managementprotocol, for example, the Simple Network Management Protocol (“SNMP”),to collect information from devices, forcing the network operators toreconcile SNMP requirements with their management policies. Furthermore,the tools available to accomplish these tasks are primitive, oftenoverloading network operators with excessive reporting responsibilitiesand failing to support automatic correlation of information aboutdevices present on the network. For example, limitations in SNMParchitecture force network operators to manage networks of devices froma single management station, or clear the same error reports frommultiple terminals. Often, network devices only report their owninternal status; but do not provide a network operator with criticalinformation on the status of the device's communication with thenetwork, nor do they provide information regarding the status ofapplications and services operating on the device.

Current network management systems are typically not responsive todegradations in network performance. They do not adjust their own use ormonitoring of the network to alleviate or troubleshoot network issuesthat might be resulting from hardware failures, denial of service (DoS)attacks, ill-advised changes in network topology, spikes in networkusage levels, or breaks in network connectivity.

FIG. 1 displays a diagram of an exemplary prior art network (1000) thatincludes an NMD (1080) as well as a number of other devices of varioustypes, such as mainframe computers (1015), desktop computers (1010),file servers (1025), and printers (1020). Network 1000 includes aplurality of network segments (1060, 1060′) connected by varioustechnologies, such as Ethernet (1045), or Token Ring (1040), sometimesseparated by firewalls (1070, 1070′) and with links to a larger network(1090), such as the Internet, where additional devices such as wirelessnetworking devices (1050) and wireless mobile devices (1030) can existthat can connect with the devices of the managed network segments. Thosewith skill in the art will realize that the depicted network isexemplary only, and that many configurations of the devices shown, aswell as other devices not shown, are possible.

In such networks it is possible to form connections between devices on afirst network segment (1060) and devices on a second network segment(1060′) for some purposes while being unable to monitor network ordevice state or traffic on the second network segment from the firstnetwork segment due to the restrictions imposed by firewalls or otherlimiting devices. For example, continuing with FIG. 1, if the NMD (1080)detects data communication between a first device (1065) on its segment(1060) and a second device (1065′) on the firewalled segment (1060′),this discovery can result in a desire to monitor network use and devicestatus of the second device (1065′), but the firewalls (1070 and 1070′)block all traffic except that involved in the link between the firstdevice (1065) and the second device (1065′). Using NMDs (1080) tomonitor the second device (1065′) requires physically connecting the NMD(1080) to the second device's network segment (1060′), which canpreclude continued monitoring of the first device's network segment(1060) (depending on the specifics of the firewall restrictions), andmight involve relocating the NMD into physical proximity to the seconddevice's network segment, perhaps over a great distance (in the exampledepicted, from Washington, D.C., USA to Tokyo, Japan). This can resultin both lengthy delays and expenditures of money. Alternatively, asecond NMD (1080′) can be procured and installed on the second device'snetwork segment (1060′). This would permit simultaneous monitoring ofboth network segments, but still involves an expenditure of time andmoney, and may not be practical when there are a large number of networksegments and a small budget for network monitoring, or if some networksegments are located in areas lacking required resources, such as space,power or management personnel.

As depicted in FIG. 2, an exemplary prior art NMD (2000) is a networkappliance device made up of dedicated hardware and software systems thatwork together to monitor and manage a network and the devices connectedto it. Often such prior art NMDs self-configure once connected to anetwork through an auto-discovery mechanism using both passive andactive techniques to detect, identify, configure and monitor othernetwork devices using embedded and dynamic applications (2400), as wellas optionally providing preintegrated applications (2500) such as DomainName System (DNS), Dynamic Host Configuration Protocol (DHCP), and othersuch services as required. The exemplary prior art NMDs also provide auser interface (Device Interface) (2200) to the prior art NMD (2000) soas to allow control and configuration of the device (with configurationinformation stored in a Configuration Policy (2060)), examination of thedata collected, and other required tasks, to generate reports, toreceive alerts and traps as required, and can provide storage (2810) forcollected monitoring data (2814) and configuration data for variousdevices or device types (2816 or 2812) as well as management of theavailable data storage resources (2800). The prior art NMD additionallyhas an Operating System (2100) to manage processes and resources of eachdiscovered device in conjunction with a device manager (2050),communications interfaces (2600) for publishing (2620) and receiving(2610) information, a Maintenance Scheduler (2900) for performingperiodic or timed activities, and an Error Handler (2910) for dealingwith various error conditions. Detection and recognition of otherdevices, as well as monitoring, is performed by a Recognizer (2700),consisting of a Collector (2720) and its plug-in applications (2730),and three manager functions which manage dynamic applications (2710),Templates (2750) that describe various devices, device types, and events(2740).

The above-described exemplary prior art NMDs cannot be easily,inexpensively, or quickly replicated to deal with network growth, or beflexibly and dynamically deployed to continue monitoring activitiesduring partial network outages or device failures (including failures ofthe prior art NMD hardware itself), or relocated to monitor isolatednetwork segments, such as those on the opposite side of a router orswitch, without expenses for additional hardware, transport and stafftime. Furthermore, such prior art NMDs do not provide automated controland specification of flexibly deployable data collection and devicemanagement mechanisms, the specification of a flexibly deployable datastorage and retrieval mechanism, or automatic adjustment of a prior artNMD's behavior, its data collection and handling mechanisms, and dynamicapplication behavior, or use based on network environment factors suchas current traffic load, network outages, device failures, or DoSattacks. Furthermore, prior art NMDs do not support flexible trustconfigurations so as to allow monitoring and management of a givennetwork by a plurality of entities (e.g. IT departments, ISPs or networksupport companies) without permitting all to have full access to thenetwork and related data.

Thus, there is an immediate need for network management systems that aremore robust, and simpler to install, configure, and maintain, which areresponsive to changes in network performance so as to maintain a desiredQuality of Service (QoS), and of monitoring even if the network topologyis disrupted or is unstable. The exemplary illustrative non-limitingtechnology described herein meets these and still other needs.

3 SUMMARY OF THE TECHNOLOGY HEREIN

One exemplary illustrative non-limiting implementation herein provides anetwork management method comprising: deploying network collectionsoftware on a first network or subnetwork; executing said networkcollection software on a hardware component of the first network orsubnetwork; discovering, with the executing network collection software,information relating to the configuration of the first network orsubnetwork; and sharing said discovered configuration-relatedinformation with a further, trusted instance of the same or differentnetwork collection software that is also discovering informationrelating to the configuration of the first network or subnetwork tothereby collaborate network configuration discovery.

A further exemplary illustrative non-limiting implementation hereinprovides a method of collecting configuration data for a plurality ofnetwork segments, comprising: deploying a first collection unit on firstnetwork segment; using said first collection unit to collectconfiguration related information concerning the configuration of saidfirst network segment, including filtering said configuration relatedinformation using at least a first filtering profile; deploying a secondcollection unit on second network segment different from said firstnetwork segment; using said second collection unit to collectconfiguration related information concerning the configuration of saidsecond network segment, including filtering said configuration relatedinformation using at least a second filtering profile different fromsaid first filtering profile.

A further exemplary illustrative non-limiting implementation hereinprovides a method of dynamically distributing network configurationmonitoring functions among plural disparate collection units residing indifferent network domains, comprising: deploying plural collection unitsacross at least one network;

pushing at least one network configuration collection function ortemplate to at least some of said deployed collection units; allowing atleast some of said deployed collection units to pull at least onefurther network configuration collection function or template.

An additional exemplary illustrative non-limiting implementationprovides a collection of cooperative network configuration collectionunits deployed across at least one network comprising: a firstcollection unit disposed on a first network segment; a second collectionunit disposed on a second network segment; wherein said first and secondcollection units operate together as a distributed collection unit toproduce an integrated set of collected information.

A further exemplary illustrative non-limiting implementation provides anetwork configuration collection architecture comprising: a firstcollection unit disposed on a first network segment, said firstcollection unit automatically collecting configuration informationrelating to said first network segment; a second collection unitdisposed on a second network segment, said second collection unitautomatically collecting configuration information relating to saidsecond network segment; and plural task managers cooperating to at leastin part control at least one of said first and second collection units.

A further exemplary illustrative non-limiting implementation provides anetwork discovery architecture comprising: at least one collection unitdisposed on at least one network segment, said at least one collectionunit operable to discover configuration information pertaining to saidat least one network segment; and a software-based data manager deployedto communicate with said at least one collection unit, said data managerstoring at least some information that supports said at least onecollection unit.

A further exemplary illustrative non-limiting implementation provides anetwork management system operable on a first network or subnetwork,comprising: plural instances of network collection software deployed onat least one network or subnetwork, said plural network collectionsoftware instances discovering, in a collaborative manner, informationrelating to the configuration of the at least one network or subnetworkand sharing said discovered configuration-related informationtherebetween; and a control node coupled to said at least one network orsubnetwork, said control mode being configured to communicate commandsand other control information with said plural network collectionsoftware instances over said at least one network or subnetwork, whereinsaid control mode has a relationship of trust with said plural networkcollection software instances.

Additional exemplary illustrative non-limiting features and advantagesinclude:

The abstraction of the collection unit (CU) component as stand-alonesoftware which is not part of an EM7 or other network appliance, whichsupports ease of deployment, software-only deployment scenarios, anddeployment extensibility and configurability. This eases the deploymentof CUs and their control infrastructure and permits the CUs to beautomatically deployed, self-discovering, self-configuring, andself-assembling into groups of CUs under common control called CUGs.Collection units may be managed as trusted groups called trust domains(TD). Trust domains are typically independent of object origin, locationor use, and comprise privileges that vary between entities within a TD.CU and CUGs may simultaneously belong to one or more trust domains.

CU deployments may occur on, and can monitor, many types of hardware andsoftware on a network. In particular, CUs may be instantiated to monitorand/or control SCADA networks, either upon devices within a SCADAnetwork itself, or from gateway devices attached to the SCADA network.

One important aspect of the collection units is that they areextensible, and this extensibility may be managed from any task manager(TM) in the CU's trust domain, or by cooperatively by members of theCU's trust domain, e.g. other CUs, Data Managers (DM), and/or TMs. Theextensibility is enabled by the specification and/or push of templatesand dynamic applications from other CUs, Data Managers, and/or TMs.Extensible CUs are not limited by initial construction or configurationbut can change capability based on needs as they are determined. Thesecapability changes are dynamic in response to changing requirements, andmay include changes in processing capabilities, the gathering ofinformation, and the defined processing of information and itsdistribution.

CUs in a trust domain may receive tasking instructions and provide taskstatus and collected information to other members of the trust domain,including one or more task managers and/or one or more data managers.CUGs may be controlled by plurality of Task Managers, where each taskmanager may severably or joinly be effective to control one or more CUs.In some exemplary embodiments, this control is performed when there aretwo (or more) TMs, each from the same TD. In another exemplaryembodiment, this control is performed when there are two (or more) TMs,each from disparate TDs. Tasking for each CU may be provided by one ormore TMs, by one or more CUs within the CU trust domain on a cooperativebasis. CU's tasking instructions may also include instructions as to thedynamic applications and/or templates to use during monitoring and/orprocessing of collected information. Control from a plurality of TMsreduces likelihood of CU/CUG isolation from a controlling TM caused bynetwork partitioning, broken links, or other operational problems.

Centralized control of tasking within the CUG, and provides fordistributed control within a CUG without requiring every CU toparticipate in the overhead operations. This provides the capability torespond to collection load changes by replication, redeployment and/ortask restriction of CUs, and directly supports load balancing betweenthe CUs of the CUG. This response may be under TM control, or, within aCUG, by CUG internal interactions.

In some exemplary implementations, the distribution of tasking may bemade based upon load factors (e.g. based upon absolute load, uponoverall load balancing of a set of CUs), specific assignments fromanother CU or TM, as an automatic failover when a first CU detects thefailure of a second CU, by a first CU “winning” a bidding process forthe right to provide CU services. Failover of a CUs tasks to remainingCUs in the CUG when the CU is lost either by task reinstatement when CUrecovers, by delayed re-joining of the failed CU, or by automatic loadbalancing.

Additional aspects of exemplary embodiments provide for cooperating TMsto share CU/CUGs. This may occur when a first TM directs an existingCU/CUG to monitor one or more aspects of a network or network segmentand to send resulting data to a DM of second (disparate) TM.Alternatively, it may occur by a first TM instructing an existing CU/CUGto join a TD managed by a second TM, resulting in a first TM in a firstTD sharing a CU and/or CUG with a second TM in a second TD, whichreduces number of CU/CUG required to monitor a given network. Similarly,aspects of exemplary embodiments permit cooperating TMs share DMs, againby a first TM directing one or more DM(s) associated with a first TM ina trust relationship to send specific collected information to one ormore DM(s) associated with at least a second TM. Alternatively, a firstTM can direct an associated DM to join a TD managed by a second TM. Thesharing of DMs enables more rapid and efficient allocation of CU/CUGs

Groups of cooperative CUs that operate together as a distributed CU(CUG) may share discovered (collected) information between members ofthe CUG, and/or share dynamic applications between CUG members

In additional aspects of exemplary implementations, CUs may providefiltering, transformation, and transient storage of informationcollected related to aspects of the network. The CUs and their datamanagers (DMs) may be configured in a variety of topologies as makessense by the particular implementation. For example, a CU may beconfigured to send part or all of the information collected to a firstDM, and send a different part (or same or complete set) of the collectedinformation to a second DM. The collection, transformation, andcommunication of information from CU to DM is performed underinstruction as described above. Specific exemplary configurationsinclude: a) where Data Collection Filtering is performed on a CU by CUbasis, including restriction of CU Monitoring (i.e. a “don't collectthis” capability), b) where each CU sends data to one or more DM, c)were a CU can send to another CU that forwards the data according to itsown routing rules, optionally where the priority of the data affects theforwarding CU's choice of data route, d) where each CU stores prepareddata individually for different DMs, e) where each CU stores prepareddata individually for different DM's (re operations), f) wherecommunications between a CU and a DM occur at differing times, and/orusing differing methods, such as having a CU push collected informationto a DM, or having a CU cache and digests the collected information andpush the collected information to DM after the cache has filled to aspecific level or amount, having a CU cache the collected informationand digest the information, then having the CU push the digestedinformation to the DM, having the CU cache the collected information,scan the collected information for specific results, and the have the CUalert the DM, either with an alert or by pushing the collectedinformation or a subset of that information to the DM; or by having a DMretrieve the cached collected information from a CU as desired by the DM(either on a timed basis, on an alert basis, or on an as-needed basis).

In some exemplary implementations, a DM may be a member of a single TD.Alternatively, it may be configured as part of a plurality of TDs.

In exemplary implementations, a CU, TM, and/or DM may be instantiated ona device connected to a non-traditional network, such as a SCADAnetwork. CU, TM, and/or DM components may be configured as stand-alonecomponents (e.g. not part of an NMD).

Exemplary implementations of the inventions illustrate processes forremotely managing one or more CU and/or CUGs, where a TM (or otherauthorized member of the a TD, such as an authorized DM and/or CU, alsoknown as a control node) instructs one or more CU and/or CUG as to thedynamic apps and monitoring to perform, specifically, instances where:a) where a TM instructs a CU on or more aspects of information tocollect and report, b) where a TM instructs any CU in a CUG and the CUrelays to other CUG members, c) where a CU reports new discoveries to aTM, and the TM subsequently instructs a CU (the same or different) tocollect and report information about the discovered device, d) where aTM instructs two or more CUs to effect the movement of monitoring andreporting functions for a device from one CU to another, e) where a TMinstructs a CU what devices and/or services to monitor/process and/ornot to monitor/process, f) where a TM instructs a CU where to store thecollected information, and may further instruct the CU as topre-processing steps to take.

The exemplary implementations presented herein illustrate the featuresof the inventions described herein, including: a) rapid replicationand/or redeployment of management components, including CU, CUG, DM andTM on an as needed basis, b) the ability to deploy CUs to and have themmonitor areas where hardware appliance can not be installed, and c) morecomprehensive network coverage, particularly when the networks arebroken or unintentionally segmented. In many cases, it is likely somecollecting will continue even after individual device failures. Inparticular, the exemplary implementations permit the monitoring of SCADAnets from traditional networks, from traditional network to SCADAnetwork gateways, and internally within SCADA networks.

4 BRIEF DESCRIPTION OF THE DRAWINGS

These and other features and advantages will be better and morecompletely understood by referring to the following detailed descriptionof exemplary non-limiting illustrative embodiments in conjunction withthe drawings of which:

FIG. 1 depicts a schematic diagram of a network being managed inaccordance with the prior art.

FIG. 2 depicts a schematic diagram of an NMD in accordance with theprior art.

FIG. 3A depicts a schematic diagram of a network being managed inaccordance with the exemplary illustrative non-limiting technologyherein.

FIG. 3B depicts a schematic diagram of an enterprise configurationcomprising a traditional network, a gateway system and twonon-traditional networks.

FIG. 4 depicts a schematic diagram of a flexibly-deployable CollectionUnit (CU) in accordance with an exemplary embodiment of the illustrativetechnology herein.

FIG. 5 comprises a flowchart describing an exemplary auto-discoveryprocess wherein filtering is performed on some Points of Managementthrough the use of a “null” application specification in accordance withan exemplary embodiment of the illustrative technology herein.

FIG. 6 comprises a flowchart describing an alternative exemplaryauto-discovery process wherein some Points of Management are not to haveauto-discovery performed on them in accordance with an exemplaryembodiment of the illustrative technology herein.

FIG. 7 comprises a flowchart describing the process of a CU being givendata collection and/or non-collection tasking in accordance with anexemplary embodiment of the illustrative technology herein.

FIG. 8 depicts the network of FIG. 3, including exemplary controlinformation flows between Task Managers and Collection Units inaccordance with an exemplary embodiment of the illustrative technologyherein.

FIG. 9 depicts a schematic diagram of an NMD hosting some NMAS aspectsin accordance with an exemplary embodiment of the illustrativetechnology herein.

FIG. 10 depicts the network of FIG. 3, including some exemplarycommunication linkages between a Task Manager and some Collection Units,three of which are members of a Collection Unit Group in accordance withthe exemplary illustrative technology herein.

FIG. 11 comprises a flowchart describing the process of a CU joining aCUG in accordance with an exemplary embodiment of the illustrativetechnology herein.

FIG. 12 comprises a pair of flowcharts that depict the steps performedby a CUG member requesting to load-balance with another CUG member, andthe steps performed by a CUG member receiving the request in accordancewith an exemplary embodiment of the illustrative technology herein.

FIG. 13 depicts the network of FIG. 3, including two separate TrustDomains, each comprising a Task Manager and associated Collection Unitsand Data Managers in accordance with the exemplary illustrativetechnology herein.

FIG. 14 depicts the network of FIG. 3, including two Trust Domains, eachcomprising a Task Manager and associated Collection Units, Data Managersand the data routing and control linkages between them, with the twoTask Managers and one Collection Unit being members of both TrustDomains in accordance with one embodiment of the exemplary illustrativetechnology herein.

FIG. 15 depicts the network of FIG. 3, including three Trust Domains,each comprising a Task Manager, associated Collection Units and DataManagers and the data routing and control linkages between them, withvarious Trust Domain memberships being held by different components inaccordance with one embodiment of the exemplary illustrative technologyherein.

FIG. 16 depicts the network of FIG. 3, including two Trust Domains, eachcomprising a Task Manager and associated Collection Units and DataManagers and the data routing and control linkages between them, with aCollection Unit in one Trust Domain collecting data about a device andstoring that data in two Data Managers, one belonging to each TrustDomain in accordance with one embodiment of the exemplary illustrativetechnology herein.

FIG. 17 is an exemplary flowchart illustrating one aspect of anexemplary process related to sharing control of Collection Units betweenTask Managers of different Trust Domains in accordance with oneembodiment of the exemplary illustrative technology herein.

FIG. 18 depicts the network of FIG. 3, including two Trust Domains, eachcomprising a Task Manager and associated Collection Units and DataManagers and some exemplary data routing and control linkages betweenthem, with a Data Manager in a first Trust Domain sharing collected dataabout a device with a Data Manager belonging to a second Trust Domain inaccordance with one embodiment the exemplary illustrative technologyherein.

FIG. 19 is an exemplary flowchart illustrating one aspect of anexemplary process related to sharing access to Data Managers betweendifferent Trust Domains in accordance with one embodiment of theexemplary illustrative technology herein.

FIG. 20 depicts the network of FIG. 3, including two Trust Domains, eachcomprising a Task Manager and associated Collection Units and DataManagers and some exemplary data routing and control linkages betweenthem, with Collection Units in each Trust Domain independentlymonitoring a device and storing collected data in Data Managersbelonging to the respective Trust Domains in accordance with oneembodiment of the exemplary illustrative technology herein.

FIG. 21 comprises a flowchart describing the process of a NetworkManagement Component joining a Trust Domain in accordance with anexemplary embodiment of the illustrative technology herein.

FIG. 22 comprises a flowchart describing the process of a NetworkManagement Component being removed from a Trust Domain in accordancewith an exemplary embodiment of the illustrative technology herein.

FIG. 23 depicts the network of FIG. 3, including data routing betweenCollection Units and Data Managers in accordance with an exemplaryembodiment of the illustrative technology herein.

FIG. 24 is a schematic diagram depicting a Collection Unit and some ofthe elements of its Data Routing Specification Templates, as well as thefour Data Managers to which it routes data in accordance with anexemplary embodiment of the illustrative technology herein.

FIG. 25 comprises a process flow chart that depicts the processinginvolved in selecting destinations to transmit prioritized data to froma Collection Unit, with or without a temporary priority increase inaccordance with an exemplary embodiment of the illustrative technologyherein.

FIG. 26 depicts several exemplary methods for Collection Units to usefor sending and/or caching of collected data in accordance with oneexemplary embodiment in accordance with an exemplary embodiment of theillustrative technology herein.

FIG. 27 depicts several exemplary methods by which Collection Units canfilter and/or process collected data prior to sending and/or caching, inaccordance with one exemplary embodiment herein.

5 DESCRIPTION OF SOME EXEMPLARY, NON-LIMITING EMBODIMENTS 5.1 Overview

The technology illustrated herein improves on the prior art NMDs byproviding, in one aspect, methods, software, and systems that providefor alternative methods of collection and distribution of monitoringdata, including the use of alternative data collection and informationdistribution topologies, deployment methods, trust models, dynamicmonitoring configurations and lack of dependence on specific hardwaredevices. These novel technologies, described herein, are especiallyuseful in managing networks having dynamic configurations, due to theircapability to dynamically deploy management and data collectionapplications that automatically discover and identify network devicesand systems, and which collect information from these network devicesand systems. The novel technologies described herein also have thecapability to alter their configurations, deployments and activitiesbased on collected information about current network topology andtraffic. Moreover, the novel technologies described herein provide fordeploying components as a system of interacting agents that can functiontogether in groups in distributed fashion as well as independently.These novel technologies further provide the ability to maintain a broaddata collection capability even during periods of partial network outageor impairment, after a network has become segmented, whetherintentionally or not, or in cases of unusual network loading, through anability to dynamically instantiate monitoring and management componentson pre-existing network devices as described herein. These noveltechnologies also permit monitoring and management components to beinstantiated on gateway systems that bridge traditional andnon-traditional networks, or in some exemplary embodiments, to beinstantiated on components of non-traditional networks that haveappropriate capabilities from traditional network instantiations actingthrough or from gateway systems as well as directly on saidnon-traditional network components.

In another aspect, embodiments of the technology illustrated hereincomprise an exemplary architecture of interrelated network and devicemanagement applications that share information about the status ofnetworks and the devices running thereon. Different network types, suchas TCP/IP and SCADA, or different versions of a given network type, suchas Internet Protocol (IP)v4 and IPv6, may require different network anddevice management application instances to collect similar data on eachnetwork type or version, but the relationships, patterns offunctionality and data needs are similar. These interrelated network anddevice management applications dynamically collect information fromdevices present on the network and use the collected information to makenetwork and device monitoring and management decisions. In someexemplary, illustrative, non-limiting embodiments, the collection andsharing of information is automatic. In another aspect, the technologyillustrated herein includes the capability to manage its ownconfiguration and functioning, within general parameters specified byits configuration, so as to adapt to changes in network topology, deviceconnectivity, fluctuations in network traffic loading, and, in someexemplary embodiments, to proactively intervene in events such as Denialof Service (DoS) attacks, hardware failures, network connectivitylosses, and other network and system outages for example by configuringrouting hardware to block access from attacking sources, alteringnetwork topology through reconfiguration of routers, switches and othertopology-controlling devices, or notifying system management or repairpersonnel of the problem through e-mail, pagers, Instant Messaging, orother communication means.

In some embodiments, the exemplary illustrative non-limiting technologyherein provides prior art NMDs, or other devices, with extendedcapabilities resulting from the incorporation of additional softwarecomponents, and/or the production of novel arrangements of existingsoftware components so as to provide useful new capabilities andfunctions as described herein. The exemplary illustrative non-limitingsoftware, systems and methods disclosed herein provide such “extended”capabilities are referred to herein as “Network Management ApplicationSystems” (NMASs). In general, prior art NMDs comprise both hardware andsoftware aspects, while according to one aspect of the exemplaryillustrative non-limiting technology herein, NMASs may comprise onlysoftware aspects. In some exemplary embodiments, the prior art NMDs arein accordance with the disclosures of the above-referenced U.S. patentapplication Ser. Nos. 11/175,407 and 12/051,125. NMAS capabilities canbe provided in conjunction with prior art NMDs, or separate from priorart NMDs. Some exemplary embodiments can make use of hardware devices,such as “dongles”, Universal Serial Bus (USB) “flash drives” or otherstorage media, for purposes of license validation, transport of thesoftware to or between systems, or for other purposes as are wellunderstood by those with skill in the art. According to further aspectsof the exemplary illustrative non-limiting technology herein, NMASs canmake use of a variety of available hardware for their functioning,whether this comprises prior art NMDs, non-NMD devices, or both priorart NMDs and non-NMD devices. According to yet other aspects, NMASs canmake use of virtual machine technologies for their functioning.According to still further aspects, NMASs may provide improved controland monitoring of network devices, increased flexibility in handling ofdata collected from monitored networks and systems, flexible trustdomains that enable monitoring of a given network by entities havingdifferent levels of permitted access to the network and data concerningit, reduced network traffic load associated with said monitoring andcontrol, permit more efficient and robust handling of collectedinformation, and further can enable continued monitoring of networksdespite network connectivity losses, performance degradation, orlocalized outages. In further aspects, NMASs may also instantiatecollectors or other dynamically instantiated components on systemsacting as gateways to non-traditional networks, or, through gatewaysystems in some exemplary embodiments, on components of non-traditionalnetworks, such as workstations, device controllers or other appropriatesystems. In some exemplary embodiments, NMASs have the capability to beinstalled directly on non-traditional networks and instantiatecollectors or other dynamically instantiated components on aspects ofthe non-traditional network without a requirement that a gateway systemconnecting the non-traditional network to a traditional network bepresent. NMASs retain the functionality of prior art NMDs, such as theability to automatically discover network devices and topology, toautomatically configure for monitoring and management of the network inaccordance with a defined configuration policy, and to use templates forspecifying data collection and monitoring component behavior.

In a preferred embodiment, a software-only NMAS system can be rapidlyand inexpensively duplicated, relocated or eliminated as networkmanagement needs or network topology changes. As noted above, the NMASscan be configured to work in a distributed manner, e.g., as a system ofcooperating agents, or individually, or in some combination thereof. Apreferred software only NMAS requires no physical space, additionalpower or connectivity, since it is instantiated on existing devices of anetwork. NMASs comprise additional functionality not present in priorart NMD devices, such as flexibly and dynamically deployable sub-systemsfor data collection and sharing, device management, and data storagethat improve the ability to monitor and manage all parts of a networkeven when hostile activities, device failures or operator error causesunplanned changes in network topology or traffic load.

5.2 Exemplary System Architecture

The exemplary illustrative technology described herein comprisesdynamically instantiated components, such as collection units (CUs),data managers (DMs), and task managers (TMs), pre-defined data objectsused to coordinate and define the configuration and behavior of each ofthese, such as templates and template fragments, and useful arrangementsof the dynamically instantiated components, such as Collection UnitGroups (CUGs) and Trust Domains (TDs). Each of these is described below.

The dynamically instantiated components described herein are exemplaryin nature, and the functions described for each can be divided orcombined into other arrangements in particular exemplary embodimentswithout loss of capability, as will be apparent to those with skill inthe art. For example, a single component comprising some or all of thefunctionality of a CU and some or all of the functionality of a TM couldbe included in a particular exemplary embodiment. The description ofdynamically instantiated components as individual components herein isdone for clarity in describing the functionality, and should not beviewed as a limitation on implementation options.

5.2.1 The Exemplary Network and Components

FIG. 3A illustrates an exemplary network (3000) in accordance with thetechnology described herein by way of a non-limiting example, as will beappreciated by one having skill in the art. The exemplary network (3000)includes a Wide Area Network (WAN) (3200), which connects (i.e. permitscommunication between) three sub-networks: a first subnet (3060) inWashington, D.C., a second subnet (3060′) in Tokyo and a third subnet(3060″) in Sydney. Each sub-network comprises one or more networkeddevices, such as personal computers (3064, 3071 & 3075), mainframecomputers (3020), database servers (3030), and other networked devicesof various sorts (3065, 3010, 3065′, 3065″ & 3067) and the network linksthat connect them. The networked devices can be connected with eachother using any known technology, such as a ring network (3040), or anEthernet (3045). Each subnet may also contain various network apparatusincluding cables, switches, routers, network servers, and workstationsthat are indicated only generally; and firewalls or other securitymechanisms (3070, 3070′ & 3070″). Each of these components is ofconventional standard design and will be well understood by those havingskill in the art.

According to one aspect, a plurality of task managers (TM) (3082, 3082′,3062, & 3092) are instantiated on various elements of the network(3000). In particular, first and second TM's (3082) and (3092) areincluded as part of a first NMAS instantiated on a first data processingsystem (3081) and a second NMAS instantiated on a second data processingsystem (3091) with each data processing system connected to the firstsubnet (3060) by a network connection. A third TM (3082′) is included aspart of a third NMAS instantiated on a third data processing system(3080′) connected to the second subnet (3060′). A fourth TM (3062) isinstalled on a device (3065′) connected to the second subnet (3060′).The TM's (3082, 3082′, 3062, & 3092) are configured to manage thedeployment and operation of one or more collection units (CU) (3063,3073, 3084, 3086, 3088, 3078, 3026, 3024, 3022, 3032, & 3098) and/or oneor more data managers (DM) (3068, 3087, 3083, 3034, & 3093), as well asthe Network Management Application Systems (NMAS) (3080, 3080′, & 3090)that are instantiated on appropriate existing data processing systems(3081, 3081′, & 3091) connected to the network (3000). Components of theexemplary illustrative non-limiting technology herein, that can bestatically or dynamically instantiated as unique entities having definedcapabilities and functions, and that are separately configurable, aresometimes referred to herein as Network Management Components (NMCs).NMASs typically comprise a plurality of NMCs in aconfiguration-determined and needs-based arrangement. TMs, CUs, and DMsare examples of NMCs that can be instantiated on available networkeddevices as authorized and required.

In a first exemplary embodiment, each of the NMASs (3080, 3080′, & 3090)is deployed as a collection of software components instantiated on aconventional data processing system (3081, 3081′, 3091) such as acomputer system of known manufacture that possesses the requiredresources (e.g. memory, storage, CPU, network connectivity, etc.) tosupport the NMAS software components. Example data processing systemsinclude desktop and laptop computers running a variety of operatingsystems, wireless devices that may be only intermittently connected tothe network, such as portable data terminals, PDAs, or vehicle-mounteddevices, dedicated network infrastructure hardware devices such asrouters, switches, and firewalls, and upon specialized networkmanagement devices (NMDs) as described above.

Devices used to host NMAS instances can be running any operating systemthat supports the features required to implement an NMAS instance (e.g.Linux, UNIX, Microsoft Windows, Apple OS-X, OpenVMS, Be-OS, or QNX). Oneor a plurality of NMAS instances can be instantiated on a given network,or even on a single device, at any given time, using any combination ofhardware platforms and operating systems desired. An NMAS instance makesuse of existing operating system services, device drivers or languagesupport libraries to interact with device hardware, such as networkinterfaces, in some devices where said services, device drivers orlanguage support libraries implement required functionality for use byapplications such as NMASs or NMCs. In devices where such operatingsystem services and language support libraries are not available, theNMASs or NMCs may implement their own device hardware interfaces. Forexample, a network management application may include and install adevice driver supplied by a hardware manufacturer, or directly controldevice hardware through typical mechanisms such as memory-mappedhardware control registers or I/O bus commands. Even in devices thatsupport operating system services or language libraries that implementhardware interface functionality, NMASs or NMCs can implement their ownhardware interface capabilities, where this is not prohibited byoperating system security or other restrictions, to improve speed,decrease device resource consumption, or implement additionalcapabilities. In a second exemplary, non-limiting embodiment, NMASs aredeployed as collections of software components instantiated on instancesof a virtual machine, such as VMWare, Xen, Microsoft Virtual Server, SunxVM, or other virtualization and/or hypervisor-enabled system. In athird exemplary, non-limiting embodiment of the technology describedherein, the NMAS is deployed as a system of cooperating software agents.Such agents can be implemented using standard agent technologies, suchas open source Java Applets, the DARPA Agent Markup Language (DAML), theJava Agent Development (JADE) framework, or others. In a fourthexemplary, non-limiting, embodiment of the technology described herein,the NMAS may be deployed as a network appliance comprising disparatehardware, operating system, and NMAS software components.

The exemplary network depicted in FIG. 3A includes a plurality of NMCsinstantiated on devices other than those hosting NMASs. NMCs showninclude collection units (CU) (e.g. CU 3073, 3026, 3032), Data Managers(DM) (e.g. DM 3068 and DM 3034) and a TM (TM 3062). CU, DM and TMcomponents can be instantiated on any existing data processing system ofknown manufacture having the required resources, including desktop andlaptop computers running a variety of operating systems, such asMicrosoft Windows, Unix, Linux, Apple OS-X, or others, servers andmainframes running Microsoft Windows, Unix, Linux, Solaris, OpenVMS, orother operating systems, wireless devices that may be onlyintermittently connected to the network, such as portable dataterminals, Personal Digital Assistants (PDA)s, or any other wire orwireless device that include a network interface, or vehicle-mountednetwork capable devices, dedicated network hardware devices such asrouters, switches, and firewalls, and upon specialized networkmanagement devices (NMDs) as described above. In some embodiments, thesecomponents operate as services (e.g. on Windows NT, XP, or Server), asdaemons (e.g. on Linux, Unix), as embedded processes in a firewall orother network appliance (e.g. CU 3032), or in a similar mode ofoperation as determined by the capabilities and design of the hostingdevice and its operating system.

Devices used to host NMAS or NMC instances can be running any operatingsystem that supports the features required to implement an NMAS or NMCrespectively (e.g. Linux, UNIX, Microsoft Windows, Apple OS-X, OpenVMS,Be-OS, or QNX). A first device and a second device need not be runningthe same operating systems. NMAS or NMC instances, or their componentparts, can be implemented using any appropriate common technology suchas C++, Java, Python, Visual Basic, assembly language, or anycombination of a plurality of technologies. Exemplary embodiments ofNMASs and NMCs can be implemented using various technologies, and cansupport diverse combinations of the optional capabilities describedherein. For example, a PC (3064) connected to the third subnet (3060″)can be running Linux and hosting a CU (3063) written in Python thatcontains embedded applications useful in discovery and monitoring of anetwork device connected to the third subnet (3065″), while a PC (3071)connected to the second network node (3060′) can be running MicrosoftWindows and hosting a CU (3073) implemented using C++ and Visual Basicthat contains no embedded applications and requests dynamic applicationsas needed for discovery and management of discovered devices. In likemanner, the DM (3034) running on the a DB Server machine (3030)connected to the first subnet (3060) can be implemented in Ada andrunning under BSD Unix while the TM (3062) running on the networkeddevice (3065′) connected to the second subnet (3060′) is written in Javaand running under an operating system intended for embedded system use,such as the QNX operating system. In some embodiments, one or alldevices can be running a plurality of different operating systems or aplurality of instances of the same operating system (e.g. through use ofvirtual machine technologies, such as VMware or on hardware capable ofthis, such as HP's Galaxy system for OpenVMS). Alternatively, alldevices can be running the same operating system, and all NMAS or NMCinstances, or their component parts, can be implemented using the sametechnology, with the same embedded applications present in each NMAS orNMC that supports them, such as CUs. Any combination of the same, ordifferent, operating systems and implementation technologies can beused, as will be apparent to those having skill in the art.

In some embodiments an operating system is not required for at leastsome NMASs or NMCs and the NMASs or NMCs are configured to deal directlywith the hardware of the device, or to run in a virtual machine or otherexecution environment, such as the Java Runtime Environment (JRE) thatmay or may not make use of an underlying operating system. In stillother embodiments there can be some NMASs or NMCs that run over anoperating system as described above, while others do not. The method ofdeployment of an NMAS or NMC on a device will vary with the capabilitiesof the device it is deployed upon, with some devices supportingautomated remote installation and instantiation over the network, whileothers require manual installation, firmware changes, or physicalinstallation of a transport medium, such as a Read Only Memory (ROM)chip or CD-ROM, to install and/or instantiate at least a part of an NMASor NMC on the device. The functionality of an NMAS or NMC is notdependent on the method of implementation of its features, or the modeof installation of any part of it, except that dynamic deploymentfeatures of NMASs or NMCs can require initial manual installation of atleast some software on some devices in some embodiments where automatedinstallation and instantiation over the network is not supported by thedevice, as will be apparent to those with skill in the art. Suchinitially installed software can comprise some or all of the NMAS orNMC, means to support automated installation and instantiation of someor all of an NMAS or NMC over the network, or both.

As described in U.S. patent application Ser. No. 12/051,125, NMASs alsocan work with non-traditional (i.e. non-TCP/IP) networks by way ofgateway systems, and in some embodiments the NMASs retain and extendthis capability. FIG. 3B shows a simplified network configuration for anenterprise having a Front Office (3700), a Factory Floor (3500) and aBuilding Control system (3600). The Front Office (3700) comprises atraditional TCP/IP network (3830) connecting a device (3711) that hostsan NMAS (3710) to one or more non-traditional networks (3810 & 3820)both directly (3810) and by way of a Gateway device (3740). Someexemplary NMASs embodiments can have the capability to be instantiatedon devices that connect directly to one or more non-traditionalnetworks, one or more traditional networks, or a combination of one ormore traditional and non-traditional networks. The depicted NMAS is anexample of an NMAS that can be instantiated on a device connected toboth a traditional and a non-traditional network. The Front Officenetwork (3830) may connect other devices, as will be apparent to thosewith skill in the art, but these are not relevant to the currentdiscussion and are not shown.

The exemplary Factory Floor (3500) devices comprise a network interfacedvalve (3510), a network interfaced RFID sensor (3540), and a Workstation(3520), that are connected using a SCADA network (3810), such asFieldBus or IEEE1394. The SCADA network (3810) also connects the Gatewaydevice (3740) and the device (3711) hosting the NMAS (3710) to thefactory floor network (3810). As will be apparent to those with skill inthe art, a plurality of many other types of devices are likely to befound in a factory floor SCADA network, and the devices depicted in FIG.3B are only one illustrative representation for purposes of discussion.

The exemplary Building Control system (3600) comprises a SCADA network(3820), such as Building Operation and Control (BAC) protocols such asBACnet or LonTalk, which connect a gauge (3610), a Thermostat (3630),and a valve (3620) to the network (3820). As will be apparent to thosewith skill in the art, a plurality of devices of many types are likelyto be present in a typical building control system, and the devicesdepicted in FIG. 3B are a minimal representation for purposes ofexample.

Each of the non-traditional networks (3810 & 3820) is connected to thegateway system (3740), and one of the non-traditional networks (3810) isalso connected to the device (3711) hosting the NMAS (3710). In FIG. 3Ba single gateway system is depicted, but as will be apparent to thosewith skill in the art, separate gateway systems could be implemented,one for each non-traditional network, or redundant gateway systems couldbe implemented on any or all non-traditional networks to increasereliability. The minimal implementation shown is sufficient for thecurrent example however.

The NMAS of FIG. 3B (3710), supports a TM (3715), a DM (3725), and a CU(3720) as described more fully below. The NMAS (3710) is configured toinstantiate a CU (3745) on the Gateway system (3740), and provide itwith appropriate dynamic applications to permit it to make use of theGateway system's facilities to access, monitor and/or control thedevices connected to the non-traditional networks (3810) and (3820) thatare connected to the Gateway system, such as the Gauge (3610) on theBuilding Control network, or the Valve (3510) on the Factory Floornetwork. Alternatively, in some exemplary embodiments, a CU (3720)instantiated on the NMAS (3710) device (3711) (or on another device) canuse the Gateway system's (3740) facilities remotely to monitor and/orcontrol the devices connected to the non-traditional networks that areconnected to the Gateway system, such as the Valve (3620) on theBuilding Control network, or the RFID Sensor (3540) on the Factory Floornetwork. In still other exemplary embodiments, the NMAS (3710) can usethe Gateway system's (3740) facilities, or a CU (3745) instantiated onthe Gateway system, to instantiate a CU (3530), DM (3525), or other NMCdirectly on a non-traditional network device (3520), such as aworkstation, Coordinate Measuring Machine (CMM), or other device havingappropriate capabilities. NMASs that can be instantiated on devicesdirectly connected to non-traditional networks, such as the NMAS (3710),can instantiate the NMCs (3525, 3530) on non-traditional network devices(3520) connected to the network (3810) without use of a Gateway system(3740) because the NMAS installed on the device (3710) is connected tothe network (3810) independent of the gateway (3740).

NMCs instantiated on non-traditional network devices can support thesame functionality as NMCs instantiated on traditional network devices.Due to the different protocols used by non-traditional networks, NMCsinstantiated on non-traditional network devices will communicate withthose on traditional networks by way of gateway devices, e.g., device3740, that support access to both networks. NMCs instantiated onnon-traditional networks can also communicate with each other on thenon-traditional network, where the non-traditional network and itsdevices comprise the capability to support a required level of datacommunication. For example, the CU (3530) on the Factory Floor (3500)Workstation (3520), can be configured to store results in the DM (3525)running on the same workstation, or on another device on the factoryfloor network (3810) (not shown), or the CU (3530) can be configured tosend data by way of the CU (3745) in the Gateway system (3740), to bestored on another DM, such as the DM (3725) instantiated in the NMAS(3710). By means of such routing and/or network communication local tothe non-traditional network, NMCs instantiated on non-traditionalnetworks can support all of the features described herein. Unless adistinction is made, use of the term “network” herein shall refer totraditional networks or non-traditional networks, or a hybrid networkcomprising both types, connected by way of gateway systems.

In some exemplary embodiments, NMASs, NMCs, dynamic applications and anyother aspects hat can be instantiated on various hardware devices may besupported only on particular hardware devices, with separate butequivalent implementations for each supported hardware device. In suchexemplary embodiments, NMASs, NMCs, dynamic applications or other suchcomponents comprise or are associated with information identifying thedevice hardware they are compatible with (e.g. by particular file nameattributes, file header information, or file name extensions). TMs, CUsor other NMCs that provide, forward or transfer such device-specificcomponents between aspects maintain such identifying information, andtransfer it with the device-specific components. NMCs or othercomponents requesting device-specific components can specify the devicefor which the device-specific components are to be compatible as part ofthe request process. Alternatively, in other exemplary embodiments, someor all NMASs, NMCs, dynamic applications or other components are createdor used in such a way that they are not device-specific and no suchidentifying information is required for those NMASs, NMCs, dynamicapplications or other components that are not specific to particularhardware devices. This can be accomplished through the use of virtualmachine technologies, such as Java or VMware, device-independentscripting languages such as Perl or Python, or by other means that willbe well known by those having skill in the art. In some exemplaryembodiments such device-independent NMASs, NMCs, dynamic applications orother components are associated with identifying information thatindicates their device-independent nature.

Referring again to FIG. 3A, the WAN (3200) may connect still otheradditional subnets and devices (not shown) with the illustrated devicesand subnets, as will be appreciated by those having skill in the art.Any network or any sub-network may be separated (i.e., made logicallydistinct) by additional network apparatus, such as firewalls, routers,and the like, that do not pass network management traffic. All physicalor hardware components and devices described with respect to FIG. 3B areconventional and operate as understood by those with skill in the art.

5.2.2 NMAS Installation and Instantiation

To make use of existing devices for deployment of NMAS, NMC or othercomponents, an exemplary embodiment comprises capabilities to transferthe required network management applications and data to existingnetworked devices, to install the required network managementapplications on the existing networked devices so as to permitinstantiation of the required applications on the existing networkeddevices, and to instantiate the required network management applicationson the existing networked devices.

Transfer of network management applications and data to existingnetworked devices can be accomplished by means such as network transferusing proprietary or standard network data transfer technologies (e.g.File Transfer Protocol (FTP), HyperText Transfer Protocol (HTTP), orSecure File Copy (SCP)), use of direct connections between devices (e.g.RS-232C serial connections, parallel data cables, USB connections,infrared or radio links or peer-to-peer technologies such as Bluetooth),or placing the applications on an appropriate data recording medium(e.g. CD, CD-R, CD-ROM, DVD, magnetic tape, floppy disk, optical disk,paper tape, USB memory stick, or punch cards) and using existingnetworked device capabilities to read the data recording medium into itsprogram and data storage systems, or by other means as will be wellknown to those skilled in the art.

Methods for installation of applications on existing devices vary withthe design of the device and associated software. Commands, scripts,programs, or other requirements specific to a particular device orsoftware combination are preferably supplied by the NMAS installationcapability. The required commands, scripts, programs or otherrequirements are determined in some exemplary implementations bychoosing a particular exemplary implementation of an NMAS that is knownto be compatible with a particular networked device or devices and thesoftware operating thereon for manual installation, such as wheninitially installing an exemplary NMAS or NMC embodiment on a network byinstalling it on a device connected to that network device. In alternateexemplary embodiments, or when dynamically deploying instances of theNMAS or NMCs after initial installation, the NMAS is capable of usingpassive or active probing techniques as described below for devicediscovery to identify the device, its software and other requiredinformation so as to determine the appropriate commands, scripts,programs or other requirements to supply to the device so as to installa, NMAS, NMC or other NMAS component. In yet other alternate exemplaryembodiments, the required information can be supplied to an NMASinstance by an operator, by previously created configuration data, bythe method of invoking the NMAS, or by other means as will be known tothose with skill in the art. The implementation of the foregoing will befamiliar to those having ordinary skill in the art.

In some exemplary embodiments, when instantiated on an existing networkdevice, the NMASs or NMCs determine the capabilities of the networkdevice they are instantiated upon, determine appropriate constraints fortheir own operation so as not to adversely affect normal deviceoperation, acquire any additional components required to make use of thenetworked device capabilities (e.g. device drivers, dynamicapplications, templates, etc.) and to carry out their intendedfunctions. Networked device capability determination comprises suchthings as identifying network communication interfaces and methods ofusing these, determining available computing resources (e.g. CPU power,program and data memory and storage, installed utility software, andavailable services such as database servers, batch processing systems,or capabilities for starting software automatically at system boottime), and calculating how much load can be placed on the device by thenetwork management application activities without affecting normaldevice operation to too great an extent. In some exemplary embodiments,some or all of this information can be supplied by an NMAS from theinformation used for transfer, installation and instantiation of thenetwork management application. In other exemplary embodiments theinformation is determined by the NMAS or NMC itself. Such operationswill be familiar to those having ordinary skill in the art.

Some embodiments include the use of device-independent developmentsystems, such as Java, for exemplary implementations of NMASs, NMCs orother components in meeting some of the requirements for compatibilitywith diverse existing devices. In other embodiments, such systems arenot compatible with all existing devices, or even where existing devicecompatibility is not a factor the limitations of such device-independentsystems in terms of functionality supported when dealing with devicehardware, or the performance limitations of the development systemitself, use other methods for at least a portion of the implementationof NMASs, NMCs or other components. For example, if a device supportsinstantiation of Java applications, and the Java implementation supportsnetwork access for purposes of establishing TCP/IP links to networkservices, the Java implementation might not support control of thedevice's network interface hardware in the manner necessary to place itinto “promiscuous mode”, where the interface accepts data packetsintended for other devices as well as those intended for the device theinterface is a part of. Using a network interface in promiscuous mode ispreferred by some NMAS components in order to perform their functions,such as a dynamic application used to monitor traffic flow on a networksegment the device is connected to. Since the example device's Javaimplementation does not support this, the NMAS component may usenon-Java methods, such as device-specific interface software, to carryout this functionality. Even when a specific device-independentdevelopment system does not support all capabilities needed by an NMAScomponent, such systems can still be useful to implement other parts ofthe component. For example, a Java application can be used to determineinformation about a device, and then to request, transfer, install, andinstantiate a non-Java network management application compatible withthe device. The implementation of these operations will be familiar tothose having ordinary skill in the art.

5.2.3 Permissions

NMCs are configured to operate cooperatively with other NMCs byproviding a flexible system of permissions. This ensures that managementcommands are only accepted from NMC sources that have the authority toissue the commands, that NMCs are instantiated on devices permitted tohost NMCs, that collected data is only transferred between NMCsauthorized to accept it, and that the permission system does not limitsuch activities unnecessarily.

In an exemplary embodiment, Access Control Lists (ACLs) are used tospecify permissions. An access control list is a list of permissionsassociated with a first entity, such as a networked device, operation,data type or other entity, and the ACL identifier or identifiers thatmust be associated with a second entity for it to exercise thosepermissions. Any entity associated with the required ACL identifier willbe permitted the listed access to the device, allowed to perform theprotected operation, collect, send or receive the protected data type,etc. A second entity is associated with one or more ACL identifiers togrant it permissions with respect to a first entity as defined by thefirst entity's ACL. An entity can have a plurality of ACLs defining aplurality of permissions and the ACL identifiers required to exerciseeach of them. An entity can be associated with a plurality of ACLidentifiers. ACL use of this type is well understood by those havingskill in the art.

ACLs can define permissions at arbitrary granularity. For example, anACL can be used to control data collection from a device, from aspecific address associated with a device, from a particular port on adevice, from a specific application on a device, or from a specificapplication during specified time periods on particular device ports.Any entity that can be identified can be associated with an ACL, andother entities must be associated with the required ACL identifier to begranted the specified permissions to interact with the ACL-protectedentity. In a first example, an ACL identifier associated with a TM mustbe listed in the ACL for a device, with permission to instantiate NMCson the device, before it is permitted to instantiate an NMC on thedevice. In a second example, a CU must be associated with an ACLidentifier listed in the ACL for a DM with permission to push data tothe DM, in order to initiate sending of data to the DM. If the CUattempts this without such ACL permission being granted, the DM willrefuse the data transfer.

ACLs can be used to specify permissions in whatever manner is required.For example, permission can be given to transfer some types of data, butnot others (e.g. device up/down status, but not device bandwidth use),or to permit requests from specific NMCs, but not others. Permission toinstantiate NMCs, stop NMCs, specify data routing between NMCs or anyother configuration settings for NMCs, permission to query NMC status,etc. can all be controlled by ACLs. ACL restrictions are in addition torestrictions described herein based on Trust Domain (TD) membership. Insome exemplary embodiments TD membership is implemented through use ofACLs.

A given ACL permission type can mean different things to different NMCtypes. For example, an ACL for “collect data” permission, when specifiedfor a CU, permits the CU to collect data for potential sending to one ormore DMs, while a “collect data” permission, when specified for a DM,permits the DM to poll CUs for cached data. The specific ACLs used by anexemplary embodiment, and the permissions each grants to the entitiesassociated with the required ACL identifiers, areimplementation-specific, and will be well understood by those havingskill in the art.

5.2.4 Communication between NMCs

The distributed nature of NMC use requires that NMCs be able tocommunicate over the network. This requires that they have the requisiteaddress information for other NMCs they need to communicate with.Provision of this information can be accomplished in a variety of ways.In some exemplary illustrative embodiments, TMs maintain NMC addressinformation for all NMCs they instantiate, and provide this to theirNMCs as required, whether by the NMC making an explicit request for theinformation or the information being provided to the NMC as part of thetask request that caused the need for the communication, or by othermeans. In alternative exemplary embodiments, the ID information for anNMC incorporates the address information, or information useful forobtaining the address information, for communicating with that NMC. Forexample, the ID of an NMC can comprise the IP address of that NMC, theDNS name of the host of that NMC, or a Uniform Resource Identifier (URI)for that NMC. The specific nature of address information will vary withthe type of network the NMCs exist on (IPv4, IPv6, SCADA, etc.). In somealternative embodiments, NMCs are addressed by name, by type, or byother characteristics, with communications carried by mobile agents(software/data constructs that have the capability to cause copies ofthemselves to be instantiated on other hosts) that move around the netsearching for a matching NMC, and deliver the communication when amatching NMC is found. Such embodiments avoid the need for distributionof address information to other components, can simplify firewallissues, and reduce problems due to lost location update messages inembodiments where NMCs are also mobile. In embodiments using mobileagents for communication, the mobile agents can collect informationabout last-known NMC locations to improve communication speed and reducebandwidth use on future communications with that NMC. In some of theseembodiments the mobile agents can exchange NMC location information witheach other for still greater efficiency improvement.

In some exemplary embodiments NMCs communicate by a “push” communicationmodel, where a first NMC that has commands or data for a second NMCtransfers the commands or data to the second NMC at a time and by amethod chosen by the first NMC. In some other exemplary embodiments NMCscommunicate by a “pull” communication model, where a second NMC contactsa first NMC at a time and by a method chosen by the second NMC toinquire for waiting commands or data, whereupon the first NMC transfersany waiting commands or data to the second NMC. In yet other exemplaryembodiments NMCs communicate by a “cooperative push” communicationmodel, where a first NMC contacts a second NMC at a time and by meanschosen by the first NMC and the first NMC requests that the second NMCperform a “pull” type communication session with the first NMC, or witha third NMC. In still other exemplary embodiments any or all of thesecommunication models can be used.

When there is a need to communicate with a plurality of NMCs using thesame message data, and if the network in use supports it, a “broadcast”method can be used, where the message is sent once, and received by aplurality of NMCs, rather than being sent individually to each NMC. Thismethod of communication is useful for communication between a TM and theCUs that form a CUG (as described below), for communication between a TMthat manages a Trust Domain (TD) (described below) and the members ofthat TD for purposes such as changing the TD membership key data ormaking other TD-wide configuration changes. In some alternativeembodiments using mobile agents for communication between NMASs andNMCs, the mobile agents search out a plurality of matching NMCs, ratherthan delivering to the first matching NMC and thus implement a form oflimited broadcast communication. Even when broadcast methods areavailable, use is not mandated, and a plurality of individuallyaddressed messages is permitted when this is determined to be proper bythose having skill in the art.

5.2.5 Collection Units (CUs)

The exemplary, illustrative technology herein provides systems, softwareand methods for detecting, identifying, monitoring and/or controllingvarious devices connected to the network, as well as the communicationsbetween them. To permit more flexible monitoring and/or device controlarrangements, and more rapid adjustments to data collection systems,some preferred exemplary embodiments include functionality in the formof a deployable “Collection Unit” (CU). Examples of suitable collectionunits are software application systems that can be instantiated onvarious existing networked devices and which perform similar devicediscovery, data collection and reporting functions as the “Collector”and “Classifier” found in U.S. patent application Ser. No. 11/175,407,and which have a similar ability to make use of Dynamic Applications andto be configured through the use of embedded, included, or dynamictemplates. CUs can be of one type, or they can be of a plurality oftypes, each with differing implementations and capabilities; however,all CUs share certain base level functions and capabilities as describedbelow. Due to their software nature, a plurality of CUs can beinstantiated as required, on a single device or on a plurality ofnetwork-connected devices, wherever located, without a need to purchaseadditional hardware or relocate or reconnect existing devices or provideadditional power or other resources. In some exemplary embodiments, thedevices on which CUs are instantiated can be of a plurality of types,such as mainframe computers, desktop computers, routers, switches,firewalls, file servers, or any other device having appropriatefacilities. In some exemplary embodiments, CUs can be instantiated ongateway systems that connect traditional networks to non-traditionalnetworks, or, through such gateway systems on components ofnon-traditional networks that have appropriate capabilities andpermissions. This capability permits rapid and easy expansion,redeployment, or reduction of monitoring and control capability as theneeds of the network monitoring and control task change and can permitmonitoring of network segments where installation of an NMAS is notpractical or possible, such as where no appropriately capable deviceexists or is installable (e.g. in field locations with adverseenvironmental factors or lack of available power to support such adevice).

FIG. 4 depicts a schematic of a CU (4700) configured to be dynamicallyinstantiated on an appropriate network device, such as a Windows-basedPC, a Linux-based PC, a Unix-based file server or mainframe, a router,or prior art NMD according to one aspect. The CU (4700) makes use ofservices and capabilities provided by a host device that it isinstantiated on for communication, storage, and execution resources(i.e. CPU, memory, etc.). In some exemplary illustrative non-limitingimplementations, one or more CU's is dynamically instantiated on one ormore existing network devices in a manner that allows an existing ornewly installed NMAS to extend its capabilities for monitoring andcontrolling a network or network portion. More specifically, in apreferred embodiment CU's are dynamically instantiated onto networkdevices connected to portions of a network or subnets that an NMASoperating on the network can not reach directly, such as beyondfirewalls and on opposing sides of likely network break points such ason opposing sides of a router, or on other segments on opposing sides ofa hub. Dynamically instantiating CU's onto potentially unreachablenetwork devices provides the NMAS operating on the network anopportunity to maintain, monitor and control portions of a network thatmay become unreachable in the event of a planned or unplanned networksegmentation event, such as might occur with a router failure ormisconfiguration. The use of dynamically instantiated CU's improves thecollection capabilities of the existing or newly installed networkmanagement systems since a CU that is segmented from other networkmanagement systems continues to collect and store data that can besubsequently retrieved by, or sent to, other network management systemswhen the network segmentation is eliminated and a network path betweenisolated CU's and other network management systems is restored.

Exemplary CUs can vary in specific design and capabilities, and the CUdepicted in FIG. 4 is only one possible illustrative example of thetypical components used. The CU depicted comprises a “Recognizer” (4705)which compresses a “Collector” (4720), including any “plug-ins” (4730)that may be associated with the collector (4720), an ApplicationsManager (4710), a Template Manager (4750), and an Event Manager (4760),as described in U.S. patent application Ser. No. 11/175,407. A CUadditionally comprises other components substantially similar in purposeto those of the NMD, such as Dynamic Applications (4400), an ErrorHandler (4910), a Maintenance Scheduler (4900), and a ConfigurationPolicy (4060).

A The CU (4700) may optionally include Embedded Applications (4450),which are functionally equivalent to Dynamic Applications (4400), butwhich are incorporated into the CU at the time it is created rather thanbeing transferred dynamically as needed. Incorporating embeddedapplications into an instance of a CU improves efficiency by shorteningthe time required for an instance of a CU to begin monitoring andmanaging aspects of the network and its associated devices and byeliminating the network traffic required to request and transmit anequivalent dynamic application. It is sometimes possible to moreefficiently implement an embedded application than to implement anequivalent dynamic application through code sharing and re-use withother aspects of a CU.

Dynamic (4400), or Embedded (4450), Applications associated with the CU(4700) are used to collect data from particular devices, sets ofdevices, types of device, particular protocols or sets of protocols, orother aspects of a network and the network devices connected to it thatare monitored by the CU (4700). The CU (4700) is configured to discoverand classify network devices and applications running on networkdevices, or collection of data concerning network devices or theapplications running on those devices, using a variety of methods,standard protocols and data collecting techniques including any one ofor combinations of the following active and passive data collectionmethods and others as may be required:

-   -   Ping (ICMP “echo request” or equivalent) of selected network        addresses    -   ICMP, UDP and TCP packet reading (“packet sniffing”)    -   SNMP v1, v2, and v3    -   DNS reverse lookup and “whois” database lookup    -   Scanning well-known ports to identify applications running on        devices    -   Signature comparison of responses to operating system and        application prompts    -   Lookup of MAC address data against known manufacturer equipment        data    -   “Promiscuous Mode” collection and analysis of data packets        addressed to other systems.

In addition, the CU (4700) may be configured to determine which of aDynamic (4400) or Embedded (4450) Application is best suited fordetection, monitoring or control of a given network device orapplication by initially collecting preliminary data about the networkdevice or application and then using one or more rules that definerelationships between the preliminary data collection results and thecapabilities of Dynamic (4400) or Embedded (4450) Applications to selectwhich application is most suitable for the network device orapplications. Rules, which may be associated with the recognizer (4705)can comprise performing operations such as:

-   -   Numeric comparison of collected data elements or parts of data        elements.    -   String comparison of collected data elements or parts of data        elements.    -   String search and regular expression matching in collected data.    -   Combination of a plurality of rules using Boolean logic.

When collected preliminary data matches a rule or rule combination, theassociated Dynamic (4400) or Embedded (4450) Application is consideredvalid for use with the network device or application the data wascollected from. In addition to use for matching appropriate Dynamic(4400) or Embedded (4450) Applications with discovered devices orapplications, the rules can also be used to control the instantiation ofDynamic (4400) or Embedded (4450) Applications. For example, a rule canspecify that a given Dynamic (4400) or Embedded (4450) Application beinstantiated only if a network device is running application “X”, butnot if application “X” is version “Y” or if application “Z” is runningtoo. Such capability is useful for avoiding conflicts with normalnetwork or device operations, with preserving security of data, and forpermitting flexible specification of the Dynamic (4400) or Embedded(4450) Application to use and when and where to use it so thatcompatibility issues do not arise.

Dynamic (4400), or Embedded (4450), Applications associated with the CU(4700) may also be used to control particular devices, sets of devices,types of device, or other controllable aspects of a network and thedevices connected to it that are to be controlled. In particular, the CU(4700) may be configured to alter configuration settings of a networkdevice or application running on a network device that the CU isinstantiated on by issuing commands to otherwise controlling theoperation of the network device or application running on the networkdevice. Examples of well known mechanisms and protocols that can be usedfor these purposes include, but are not limited to:

-   -   Distributed Managed Task Force (DMTF) standards such as:        -   CDM—Common Diagnostic Model;        -   DASH—Desktop and mobile Architecture for System Hardware;        -   SMASH—Systems Management Architecture for Server Hardware;        -   WBEM—Web-Based Enterprise Management;        -   CIM—Common Information Model;        -   CIM-XML—CIM-XML is a WBEM protocol that uses XML over HTTP            to exchange Common Information Model (CIM) information;        -   CIM Web Services for Management;        -   DMI—Desktop Management Interface;        -   ASF—Alert Standard Format;        -   SMBIOS—Systems Management BIOS;    -   Network Applications such as:        -   Cisco Content Switch Module (CSM);        -   Cisco Application Control Engine (ACE);        -   Cisco ACE XML Gateway (AXG);

The CU (4700) may be instantiated one or more times on any appropriatelycapable network device without the need to instantiate a fullyfunctional NMAS on the network device. Moreover, the recognizer (4705)is configured to discover capabilities and configurations of networkdevices it is instantiated upon, as described above, so that it can makeuse of device capabilities such as network interface hardware, datastorage, CPU and other elements. Additionally, the CU (4700) includeselements that are configured to cache (and, in some exemplaryimplementations, scan results and digest) data collected by the CU onthe hosting device, monitor its effects on the hosting device and adjustits activities to keep said effects from interfering with normaloperation of the hosting device, and to carry out additionalfunctionality, such as participation in Collection Unit Groups (CUGs)and Trust Domains (TDs), as described below.

The CU (4700) may further include elements configured to actively invokefunctions of the host device, such as by invoking a status orconfiguration query and or to passively, monitor activity of the hostdevice e.g. by monitoring network traffic, or both, in order to collectdata about the host device. Moreover, the CU (4700) may include elementsconfigured to actively or passively query other network devicesreachable by the CU, e.g. in a local subnet, and to map the local subnetand determine the type, capability and status of the reachable networkdevices by either passively or actively monitoring the activity of theother devices. Additionally, the CU (4700) may be configured to storedata collected thereby on the host device or in DM's operating on thehost device or elsewhere on the network. Moreover, the CU (4700) can beconfigured to monitor all or a plurality of activities of the host andother reachable network devices, or to restrict monitoring to a subsetof available devices or device types, a subset of available protocols, asubset of available addresses, or any combination of these or othersubsets of available network data or components. The CU (4700) canauto-detect network devices and self-configure to monitor or controldetected network devices through Dynamic Applications or EmbeddedApplications associated with the types of devices, protocols, or systemsdiscovered. The CU (4700) can be reconfigured by templates sent from TMsor other control nodes operating on the same or other network devices toperform filtering, classification and tagging, annotation or otheroperations on data collected by the CU (4700) prior to saving orforwarding the data to a storage system such as a DM. The CU (4700) alsocan be configured by templates sent from TMs operating on other networkdevices not to collect specific data or types of data when that behavioris required. For example, the CU (4700) can be configured to ignore aspecific device, device type, or a particular protocol or protocols whendiscovering or collecting data. More generally, the CU (4700) at leastcontains basic functionality, such as an ability to receive DynamicApplications and use them for purposes such as data collection,classification of data and identification of devices, or for otherpurposes, and can contain optional functionality, such as enhanced datarouting or processing capabilities. Optional CU capabilities can beincorporated into a given CU prior to instantiating it by embedding thecapability into the CU or by dynamically configuring the CU afterinstantiation.

The dynamic nature of CU instantiation on diverse devices as describedabove permits rapid adjustment of the number and location of datacollection points in a network without requiring acquisition,reconnection or relocation of hardware. The ability of CUs to continuedata collection for some period of time in isolation from some or allother NMAS components permits continued monitoring of network segmentsthat have become isolated due to hardware failures, configurationerrors, or other causes. Data collected during such periods is cached bythe CU and routed to appropriate data storage units after connectivityis restored, or deleted if the data has become outdated as defined byone or more flexible policy rules operating on the CU. CUs also can beassigned redundant collection tasks, to reduce loss of coverage if aparticular CU is lost (e.g. when the device it is instantiated on shutsdown, loses network connectivity or suffers data loss) or temporarilyoverloaded and cannot perform its monitoring tasks. Elimination ofduplicate data is performed by the data manager (DM) componentsdescribed below when duplication of data is not desired.

5.2.5.1 Auto-Discovery Process

As described in U.S. patent application Ser. No. 11/175,407, CUs providean auto-discovery mechanism through the combined operation of theCollector, the Recognizer, and the instantiation conditions portion ofthe application specifications. The CU (4700) provides templates forfiltering data collection that are not available in conventional networkmanagement systems. The data filtering specified by templates may beconfigured to prevent the collection of some data types such as data forparticular devices, device types, or services. The data filteringprocess may further filter data that has already been collected anddiscard and or not process, cache, or route filtered data to any DM.Data filtering can be performed by the Collector (4720), for instance,by specifying that it not monitor a particular network interface whenthe filtering affects all devices and services on a network segmentconnected to that interface, or only reading data that does not match afiltering template specification. In other embodiments, filtering can beeffectively performed by the Recognizer (4700), using a Point ofManagement that specifies use of a “null” dynamic application, whichsimply discards any data it is given.

One exemplary auto-discovery process (5000) provided by the CU (4700) isdepicted in FIG. 5. The exemplary auto-discovery process begins bychecking to see if a Point of Management for the collected informationmatches any filter specification (5007) that would prohibit collectionof data from the Point of Management (5005). If a filter specificationmatch is found, a “null” application (one that merely discards any datagiven to it) is registered for the Point of Management (5015), and theprocess proceeds to a Registry check (5010). If a filter specificationmatch is not found, the Recognizer (4705) checks the Registry check(5020) for existing known dynamic applications registered that match thePoint of Management (5010). If the Registry check succeeds, a dynamicapplication (5030) associated with the Point of Management isinstantiated and a predefined application (5040) is invoked whichcompletes the procedure.

If the Registry check (5020) fails, the Recognizer (4705) checks theConfiguration Policy (4060) to determine whether an auto-discovery(5050) should be performed. If the auto-discovery (5050) should not beperformed, the process terminates. Otherwise, the Recognizer (4705)checks the Point of Management Description Template in the templatemanager (4750) to determine a discovery application (5060) to use. TheRecognizer (4705) checks the Registry (5070) to determine if thisapplication has already been instantiated. If the application has notbeen previously instantiated, the Recognizer calls the ApplicationManager (4710) to instantiate the application (5080) and the processterminates. Otherwise, The Recognizer calls the Application Manager(4710) to invoke the discovery application, passing in the informationabout the discovery (5090). The process then terminates.

Another exemplary auto-discovery process (6000) that may be provided bythe CU (4700) is depicted in FIG. 6. The alternative exemplaryauto-discovery process begins with the Recognizer (4705) performing acheck of the Registry (6020) for existing known dynamic applicationsregistered that match the Point of Management (6010). If the check(6020) succeeds, a dynamic application (6030) associated with the Pointof Management is instantiated (6030) and the predefined application isinvoked (6040).

If the Registry check (6020) fails, the Recognizer (4705) checks theConfiguration Policy (4060) to determine whether auto-discovery (6050)should be performed. If auto-discovery should not be performed, theprocess terminates. If auto-discovery should be performed, theRecognizer checks the Configuration Policy (4060) to see ifauto-discovery is permitted for the particular Point of Management(6055). If auto-discovery is not permitted for the Point of Management,the process terminates. If auto-discovery is permitted, the Recognizerchecks the Point of Management Description Template in the templatemanager (4750) to determine the discovery application (6060) to use. TheRecognizer checks in the Registry (6070) to determine if the application(6060) has already been instantiated. If the application (6060) has notbeen previously instantiated, the Recognizer calls the ApplicationManager to instantiate the application (6080) and the processterminates. Otherwise, The Recognizer calls the Application Manager toinvoke the discovery application, passing in the information about thediscovery (6090). The process then terminates.

In some exemplary embodiments of the CU (4700), the results ofauto-discovery can result in one or more further CU's (4700) beinginstantiated on other network devices. Moreover the further CU's (4700)may include additional or different embedded applications than the CU(4700) depending on the auto-discovery results. For example, if a CUauto-discovery reveals that a network segment contains a DNS server,further CUs instantiated to monitor and control aspects of that networksegment can be created with DNS monitoring and control applicationsembedded so that it is not necessary to discover the need for them andrequest these as dynamic applications. Likewise, if it is found thatthere is no requirement for a given embedded application, that embeddedapplication can be omitted from further CU instantiations. By embeddingapplications with a high probability of being required, and omittingthose with a low probability of being required, CU and TM resourceconsumption, network communication traffic, and the time required for aCU to assume monitoring and control duties is reduced, thus improvingefficiency and effectiveness of the network management system as awhole.

When it is necessary to change the tasking of a CU, whether to requireit to collect additional data, such as data about a specific device,service or application, or to prevent it from collecting data, such asdata from a specific device, device type, service or type of service, orsome combination of these or other tasks, a TM sends a Data ElementDefinition Template (described below) to the CU that describes the dataelements that are to be collected, and optionally to define one or moredynamic applications to handle the collection, or alternatively, thedata elements that should not be collected. As depicted in FIG. 7, theCU (4700) may receive a Data Element Definition Template (7110) fromanother NMC through the Template Manager (4750). The Template Manager(4750) first checks the CU's Registry (7020) to see if the CU is alreadycollecting the data elements as required by the new template. If thecheck (7030) determines that the CU is not already collecting therequired data elements, the Template Manager (4750) updates theConfiguration Policy (4060) to require collection of the missingelements (7040), such as by causing the Collector to instantiate aplug-in, or to adjust the Data Elements collected by an existingplug-in. The Template Manager (4750) then causes the Collector (4720) orApplication Manager (4710) to instantiate the required applications(e.g. a dynamic application) with the required parameters (7050). Insome cases, the Application Manager (4710) may acquire a dynamicapplication from another NMC in order to allow the Collector (4720) toinstantiate it. If the Data Element Definition Template does not includeany negated data element specifications (7060), the process is complete.If the Data Element Definition Template includes negated data elementspecifications (7060), then the Template Manager updates theConfiguration Policy (4060) to prohibit collection of the specifiednegated data element specifications (7070), and if any of the negateddata element specifications are currently being collected (7075),performs an “update in place” for the applications that are doing suchcollection (7080). In some embodiments, all data elements associatedwith a specific dynamic application are covered by a negated dataelement specification, and the data element specification can referencea “NULL” dynamic application. If the CU is part of a “Collection UnitGroup” (CUG) (7090), the CU forwards the new Data Element DefinitionTemplate to the other CUG members (7095) so that they have it availablein case fail-over or load balancing requires them to take overperformance of the task.

In some embodiments CUs are configured to send collected data to one ormore DMs, to send data to a particular DM based on the nature of thedata, the state of communication with another DM or DMs, or by rule setswhich flexibly define how data is to be routed and stored. In otherembodiments, CUs are configured to filter data based on rule sets thatdefine the data to be ignored and/or the data to be collected. In stillother embodiments, CUs are configured to perform processing operationson collected data to reduce the processing workload of other componentsof the network management system, such as DMs. In some embodiments, CUscache data when connectivity with an appropriate DM is not available, oruntil a specified level of cache capacity remains, or until a DMrequests that the data be transferred to the DM. In other embodiments,CUs are configured to perform compensating actions in the event thatremaining cache capacity is reduced sufficiently or becomes exhausted,such as attempting to contact a DM for transfer of some or all of thedata in the cache, contacting a DM to request that the DM requesttransfer of some or all of the data in the cache, contacting a TaskManager to request assignment of an alternate DM to transfer some or allcached data to, deletion of low priority data, or other actions asdetermined to be proper by those having skill in the art.

5.2.6 Data Managers (DMs)

Some embodiments of the exemplary, illustrative, technology hereincomprise components responsible for the storage, retrieval, andmaintenance of data collected by NMCs or other components of the system.These data storage components are referred to herein as “Data Managers”(DMs) and are dynamically instantiated on appropriate and availableexisting networked device resources, such as file servers, mainframecomputers, dedicated database servers, desktop PCs, prior art NMDs, orothers. DMs make use of the network communication and data storagecapabilities of the network devices they are instantiated upon, or otherstorage capabilities usable by such devices (e.g. network virtualstorage systems, RAID arrays, etc.), to request, accept, forward, store,safeguard, process, distribute, duplicate, and/or permit authorizedaccess to collected data in a flexible manner. DMs can make use of oneor more data storage technologies and systems that are available to thedevices where they are instantiated, such as local or networked filesystems, local or networked virtual storage systems, DBMS capabilities,mass storage systems and off-line backup systems to carry out theirfunctions.

DM behavior is controlled by templates provided by controlling TMs orother authorized components. DMs are provided with Data StorageDefinition Templates (described more fully below) to define their useconfiguration and behaviors with respect to data storage, and DataRouting Specification Templates (described more fully below) are used todefine routing of data to or from DMs. Initial Data Storage DefinitionTemplates are provided as part of the DM installation for use when theDM is instantiated. Additional or updated templates can be provided by acontrolling TM or other authorized component as required afterinstantiation to alter the use of local or remote storage facilities,request data, or other operations.

The flexibility of exemplary embodiments as to data routing, datastorage, and data sharing between components permits management of anetwork from a single location, regardless of how large or dispersed thenetwork is, management from a plurality of locations, or for differentaspects of network management to be performed by different users, or anycombination of these. For example, the owner of a network can arrange tohave all data collected about a network routed to DMs that are availableto the owner for monitoring and control of the entire network, butarrange to have data collected about a particular device or devices,such as those provided by an Internet Service Provider (ISP), routed toDMs which are available to the ISP for use in monitoring and controllingthe network's connection to the Internet. Such an arrangement permitsthe ISP to monitor its own equipment on the network, without permittingthe ISP to monitor or control any other network devices, thusmaintaining security and appropriate control for each party, while stillpermitting the ISP's presence on the network. In large data centers thatcan include devices maintained by a plurality of different contractors,such a capability is important, and not provided by typical prior artnetwork monitoring systems. Details of the features providing thisfunctionality are given below.

The dynamic nature of DM instantiation permits adjustment of the numberand location of data storage points in a network without requiringacquisition, reconnection, or relocation of hardware. By locating DMs innetwork proximity to CUs, whether on the same devices or on differentdevices e.g. on the same subnet, and configuring those CUs to storecollected data in those DMs, the ability of CUs to continue datacollection in isolation from other aspects of the NMAS is enhanced.While some exemplary CUs are capable of caching data themselves, theirstorage capacities are typically more limited than those of DMs, and ifthe caches can not be flushed out to a DM, the CU's available cachespace can become exhausted and impact data collection adversely. Bypositioning DMs on the same network segments as the CUs that send themdata to store, the load on segment connection systems, such as routers,is reduced, and the bandwidth of other parts of the network are notaffected.

5.2.7 Task Manager (TM)

In another aspect, Task Managers (TMs) provide for the specification of,configuration of, instantiation of, and management of zero or moreCollection Units (CUs) and/or zero or more Data Managers (DMs). NMCmanagement by TMs comprises, without limitation, the processes ofsoftware transfer, instantiation, configuration, removal, monitoring,and control of CU, DM, dynamic applications, and related networkmanagement technologies.

In some embodiments, TMs instantiate instances of NMCs, such as CUs andDMs, as required, using the resources of networked devices that the TMis authorized to use for these purposes. The Configuration Policy of theTM supplies authorization and other information required to make use ofthese resources. To instantiate NMCs on remote networks, a TM must beable to communicate with a device on the remote network withoutinterference by any of the network components involved with routing,filtering, and blocking network traffic (such as routers, firewalls,switches, etc.). Such connectivity can be accomplished by way ofspecific permission settings in network devices that filter or blocknetwork traffic, use of Virtual Private Network setups, where separatenetwork segments are made to appear to be connected, even though othernetworks are used to carry some or all of the traffic between them, by“tunneling” communications using systems such as Secure Shell (SSH), orby other means as are known to those with skill in the art.

In other embodiments, TMs remove NMCs as appropriate, and supply NMCswith template-based configuration data to control their behavior as wellas providing any dynamic applications required to permit their properfunctioning. Non-TM NMCs can be managed by a plurality of TMs, or by asingle TM.

In still other embodiments, a TM is configured to implement loadbalancing between CUs to prevent a CU being overloaded or placing toomany requirements on its host by controlling what devices or data agiven CU instance is concerned with (i.e., filtering), or how it dealswith collected data (processing, caching and/or routing). In someexemplary embodiments, a TM can divide a first template, creating aplurality of second templates that collectively describe the tasksspecified by the first template, and assign the second templates to aplurality of NMCs. For example, if a template describes four informationitems that are to be collected, a TM could create four templates, eachof which describes one of the required information items, and assign thefour templates to four different CUs. This spreads the workload over thefour CUs, limits data loss when a system hosting a particular CU shutsdown or fails (assuming the CUs are hosted on different systems), andpermits finer-grained load balancing. In some exemplary embodiments thisTM functionality can be incorporated into a CU that acts as a “master”CU in a CUG, which permits the CUG to autonomously divide assignedtemplates between CUG members without involvement by a controlling TM.When appropriate, a TM can create additional CU instances for loadbalancing or to monitor parts of the network, which are not accessibleto existing CU instances due to network segmentation, firewalls,protocol limitations, hardware limitations, or for other reasons. TMscan create, manage and dissolve Collection Unit Groups (CUGs) asappropriate to reduce network traffic overhead, provide CU failover andautonomous load balancing capabilities, as described more fully below. ATM can implement load balancing for DMs to prevent a DM from beingoverloaded or placing too many requirements on its host by controllingwhich CU instances send data to the DM, what type of information is sent(data routing) and how the data is transferred (e.g. CU initiated, orwhen polled for by a DM). When appropriate, a TM can create additionalDM instances for load balancing or to serve the needs of CUs whichcannot access existing DM instances due to network segmentation,firewalls, protocol limitations, hardware limitations, or for otherreasons.

In yet other embodiments, TMs create and manage CUG memberships for theCUs they create or manage and also manage and control Trust Domains(TDs) that define and limit interactions between NMCs. CUGs and TDs aredescribed more fully below.

5.2.8 Task Manager Control of Network Management Functions

FIG. 8 illustrates one exemplary non-limiting embodiment which depictsthe above-described control of NMCs by TMs with respect to the networkof FIG. 3A on which lines of control have been superimposed wherein eachNMC is instantiated and controlled by one or more TMs (8082, 8092, 8062& 8082′). As depicted in the FIG. 8, the first TM (8082) providesspecification, configuration, and management of a plurality of CUs(8063, 8088, 8078, 8073, 8032, 8026, 8024 and 8022), as well as aplurality of DMs (8083, 8068 and 8034). The second TM (8082′) providesfor the specification, configuration, and management of CUs (8073, 8084& 8086) as well as DM (8087). The first TM (8062) also provides for thespecification, configuration, and management of CU (8063) and DM (8068).The second TM (8092) provides for the specification, configuration, andmanagement of CU (8098) and DM (8093). The lines of control are depictedby the dashed lines (8110, 8115, 8125, 8135, 8130, 8145, 8140, 8150,8156, 8155, 8120, 8111, 8113, 8165, 8170, 8175, 8180 & 8185). Note thatsome NMCs, such as the DM hosted by the File Server (8034) or the CU(8078) hosted on the PC (8075), are instantiated and controlled by asingle TM (8082), while other NMCs, such as the CU (8073) hosted on thePC (8071) or the DM (8060) hosted on the Device (8067) are initiallyconfigured and instantiated by a single TM, e.g. the first TM (8082),but are dynamically configured and managed by a plurality of TMs; (8082& 8082′) for the CU (8073), and TM's (8082 & 8062) for the DM (8068).Other devices and components depicted include a firewall (8070″),Devices (8065″ & 8067) and a PC (8064) on the subnet (8060″), a Device(8061), firewall (8070′), PC (8071), DM (8160) and NMAS (8080′) on thesubnet (8060′) instantiated on an existing device (8081′), and NMASs(8080 & 8090) instantiated on existing devices (8081 & 8091), Mainframe(8020), Devices (8065, & 8010), PC (8075), firewall (8070), Ethernet(8045), Token Ring (8040) and DB Server (8030) in the D.C. Office(8060).

By instantiating CUs on all network segments, a TM can permit continuedcollection of data should the network segments be disconnectedunintentionally, such as by loss of connectivity between the SydneyOffice, subnet (8060″), and the WAN (8200), which prevents monitoring byNMASs (8080, 8090 & 8080′). The CU (8063) on the subnet (8063) can cachedata until connectivity is re-established, or can be configured to routedata to a local DM (8068), either by default, or as a fallback routingwhen other DMs are not reachable.

Decisions regarding where NMCs should be instantiated can involve anumber of factors. These include, but are not limited to, the availableand permitted devices (including virtual machines) for hosting NMCs, theavailable resources on those devices (e.g. CPU time, memory,non-volatile storage, network connectivity), and the network topology.When network topology is known, whether by configuration or bydiscovery, segments that would become isolated by failure of networkinfrastructure components, such as routers, switches, or hubs, can beidentified, and NMCs instantiated on those segments so as to maintaindata collection and management should the network segment becomeunreachable. When existing NMCs are becoming overloaded, additional NMCscan be instantiated, and tasks re-apportioned to balance the workloadbetween them. In some embodiments, manual configuration settings canspecify where NMCs are to be instantiated, and, optionally, the tasksthey are to be assigned. For example, the configuration of a TM canspecify that it is to instantiate a CU on device “X” that is to betasked with discovering devices in address range “Y” through “Z”.Exemplary embodiments can employ any of these methods or any combinationof these methods, or others as are known to those with skill in the art.

In some embodiments, CUs and DMs are monitored by one or more TMs forworkload, connectivity, or other aspects that relate to their ability tofunction at an acceptable Quality of Service (QoS) level. TMs caninstantiate additional CUs or DMs; remove unneeded CUs or DMs; create,alter, or remove CUG relationships between CUs; adjust CU tasking; alterdata routing from CUs to DMs; or take other actions so as to maintainworkloads at a level that permits the CUs and DMs to function at anacceptable QoS level. NMCs are also monitored to detect whenconnectivity is lost so that the reason for this can be determined. Ifit can be determined that other devices on the same segment as the NMChost are still reachable (e.g. through use of a “ping”), but the devicehosting the NMC can not be reached, it is likely that the NMC host hasbeen lost, whether by a device failure, device shutdown, disconnectionfrom the network, or other cause. If other devices on the networksegment with the NMC host cannot be reached either, it is likely thatthe network segment has become isolated from the network. If devices onother network segments cannot be reached, it is possible that thenetwork segment where the monitoring is being done has become isolated.Once a failure is detected by one NMC, other NMCs can be enlisted toassist with collection of data, such as by performing ping operationsfrom different points in the network to create a reachability diagramand so map the new failure-created network topology. Determination ofthe point of failure is useful not only to permit instantiation orre-configuration of NMCs to maintain operations despite the failure, butalso to record and report the failure so as to assist with repairoperations.

According to additional aspects of the exemplary illustrativenon-limiting technology herein, CUs report devices and protocolsdiscovered to TMs as specified by the configuration of the CU, whetherthe configuration was embedded in the CU prior to instantiation, ordynamically installed in the CU after instantiation through distributionof one or more Data Element Definition templates. According to furtheraspects TMs configure CUs to monitor or manage discovered devices orprotocols by use of templates. Alternatively, TMs can configure CUs notto monitor or manage discovered devices or protocols by use oftemplates. Templates received by CUs can cause CUs to request transferof dynamic applications from TMs that are useful for detecting,identifying, monitoring, or managing devices or protocols, or forprocessing the data collected from these.

In some embodiments, the NMC workload can be managed by the NMC itself,and in other embodiments, the NMC workload is managed by other NMAScomponents, such as TMs, using various performance metrics. Examples ofpossible metrics for this purpose include, but are not limited to:

-   -   An NMC is late in performing a scheduled task, such as a DM        polling a CU for cached data (i.e., “running late”).    -   An NMC is not clearing cache as quickly as it is being filled        over a period of time (i.e., “running behind”).    -   An NMC is not running tasks as assigned.    -   The rate of data being collected exceeds a predetermined level.    -   An NMC resource usage, such as CPU, memory, or cache space,        exceeds limits set by the Configuration Policy.

In some embodiments, NMCs with excessive workloads can respondautomatically by “load shedding,” which comprises an orderly reductionin workload, according to rules defined in the NMC's ConfigurationPolicy. Possible methods of load shedding can include, but are notlimited to:

-   -   Notify a controlling TM that workload is excessive. The TM can        respond by reassigning or removing tasks, creating additional        NMCs to share the task load, or by other means.    -   CUs in a CUG can pass the task to another CUG member that is        less heavily loaded.    -   Low priority monitoring tasks can be delayed or stopped.        Controlling or issuing TMs are notified of this so that the        tasks not being carried out can be reassigned or changed in        priority if required.    -   Polling and auto-discovery tasks can be delayed to limit the        amount of response information collected and processed.        Controlling or issuing TMs are notified of this so that the        tasks being delayed can be reassigned or changed in priority if        required.

5.2.9 Exemplary Network Management Application System (NMAS)

One exemplary, illustrative, non-limiting embodiment of an NMAS isdepicted in FIG. 9. The NMAS of FIG. 9 (9080) is instantiated on anexisting network device (9081) comprising a Device Operating System(9100) and Device Interface (9200). The existing device (9081) alsocomprises additional components and hardware (not shown). The NMAS(9080) comprises a number of components which are substantially similarto NMD elements, such as, Device Manager (9050), Interfaces (9600) suchas Publish Interfaces (9620) and Receive Interfaces (9610), aMaintenance Scheduler (9950), Dynamic Applications (9975), ConfigurationPolicy (9900) and an Error Handler (9990) that are not described furtherherein. The Network Services (9925) component comprises optional“pre-integrated applications” that implement various network servicessuch as DNS, LDAP, and others. In addition, according to one aspect, theNMAS (9080) of FIG. 9 comprises dynamically deployable components. Thesedynamically deployable components can comprise one or more instances ofa “Collection Unit” (CU) (9700 a & 9700 b), one or more instances of a“Data Manager” (DM) (9800), and one or more instances of a Task Manager(TM) (9300). A DM (9800) comprises a Data Store Manager (9820), and DataStore (9810) made up of an optional Registry (9812), optionalApplication Data Store (9814), and Template Data Store (9816). Thesecomponents of a Data Manager are described in U.S. patent applicationSer. No. 11/175,407.

Dynamically deployable components, such as CUs, can be of a common type,or they can be of disparate types, as shown by the differentconfigurations of the two CUs (9700 a & 9700 b) in the exemplary NMASdepicted. CU A (9700 a) comprises a Recognizer (9705 b) with itsApplications Manager (9710 a), Template Manager (9750 a) and EventManager (9760 a), and a Collector (9720 a) with its Plug-Ins (9730 a).This instance of a CU makes use of NMAS facilities, such as theMaintenance Scheduler (9950), Dynamic Applications (9975), or othercapabilities as needed to carry out its tasks and is deployed onexisting devices in conjunction with an instance of an NMAS so thatthese capabilities are available to it. CU B (9700 b) comprises the samecapabilities as CU A (9700 a), such as a Recognizer (9705 b) withApplications Manager (9710 b), Template Manager (9750 b), and EventManager (9760 b), and a Collector (9720 b) with Plug-Ins (9730 b), butalso comprises additional capabilities such as a Configuration Policy(9060 b), Dynamic Applications (9400 b), Embedded Applications (9405 b),Error Handler (9910 b), and Maintenance Scheduler (9900 b) that permitit to operate in isolation from an NMAS instance. While FIG. 9 depictsCU B (9700 b) as part of an NMAS instantiation (9080), CU B (9700 b)could also be instantiated on the host device (9081) on its own withoutan NMAS (9080). In some exemplary embodiments, a CU instantiated on adevice that is not hosting an NMAS can make use of local operatingsystem facilities, such as on a Linux or Unix-based existing device, thecron job scheduler, rather than implement its own parallel capabilities.Such facility sharing reduces the resource consumption of the CU on thehost device and maximizes the number of devices capable of hosting a CU.The situation is similar for NMASs and for other types of NMC, such asDMs or TMs which can make use of local device capabilities or providetheir own, as deemed proper by those having skill in the art.

Unlike prior art NMDs, where hardware was of known design and softwarewas configured to make use of it as part of the construction of the NMD,NMASs and NMCs configured can be instantiated on a variety of devicesand therefore include capabilities to discover and then to make use of ahost's available interfaces, data storage facilities, and otherresources. In some embodiments this is accomplished implicitly throughsupport provided by the implementation system used to create the NMASand NMCs, for example the various standard Java system interface (e.g.java.lang.management) and other classes. In other embodiments this isaccomplished explicitly through probing the host device's capabilitiesusing standard system calls, applications and other capabilities of theOS the NMAS or NMC instance is designed to be compatible with. Forexample, on a Unix or Linux OS, an NMD may initiate a “netstat” commandto identify network interface devices, the local host's IP address, andother relevant information, and the “df” command to identify file systemdevices and the capacities and space availability for each. Devicecapable of hosting an NMAS or NMC typically have capabilities fordetermining the information required by an NMAS or NMC and can be usedby the NMAS or NMC for this purpose.

In some embodiments, NMASs instantiate one or more CUs, one or more DMs,and one or more TM's with the number of CUs, DMs and TMs instantiated atany given time being variable with the configuration and needs of theNMAS. The instantiation of a plurality of CUs, DMs, and TMs on a singlenetwork device provides for additional segregation of network traffic,finer grained management and data collection by the NMAS, and,potentially, other benefits, such as improved or more flexible securitycapabilities or ability to make more efficient use of hosts with aplurality of processors.

In other embodiments, NMASs interact with NMCs instantiated on othernetwork devices, whether the NMCs were instantiated by a first NMAS, bydisparate NMASs, manually installed and/or configured, or installed andconfigured using a third party management system. Creation andmanagement of the trust relationships required for such sharedinteraction is described below.

5.2.10 Templates

In some exemplary illustrative embodiments, initial and dynamicconfiguration of CUs, CUGs, DMs and TDs is performed through the use oftemplates. Templates are uniquely identified, independent structuresthat are used to define one or more aspects of the operation of an NMAS,TM, CU, CUG, or DM. In more specific embodiments, the templates areconfigured with extensions and alterations that provide newfunctionality. For example, additional template types and extensionsdefined below are used for configuring TD and CUG membership, specifyingCU configuration with respect to data collection, filtering, processing,storage, and data routing to DMs, specifying DM configuration withrespect to data acceptance, replication, storage, and access, and forother purposes as may be required. Description of these additionaltemplate types and extensions appears below.

Templates may be, without limitation:

-   -   Defined within an NMC instance;    -   Stored within an NMC instance;    -   Imported from or exported to an NMC instance in a “normal” form;    -   Converted to a non-“normal” form for more efficient use,        transfer or storage;    -   Stored independently of NMC instances;    -   Shared between NMC instances, either manually or automatically;    -   Manually or automatically constructed;    -   Sealed for integrity.

In some exemplary embodiments, each template element is a discrete dataitem or a collection of data items. A template fragment is a collectionof template elements that have a common purpose and may be independentlyidentified. A template fragment often meets the requirements of atemplate described above, although there is no requirement for atemplate fragment to meet all template requirements.

In some exemplary embodiments, policies define how an NMAS or NMC isconfigured or operates. For example, a Configuration Policy defineswhich NMCs may be hosted by specific host devices, which network devicesmay be used to host NMAS or dynamic NMCs, and what NMCs each may hostalong with any restrictions, authorizations, or other informationrelevant to such hosting. Policies are encoded as instantiations oftemplates. Policy templates are pieces of a defined policy that havebeen abstracted so they may be shared between NMASs, NMCs or the dynamicapplications they use. A default policy template is one that is used ifa specific policy is not specified.

In at least one exemplary, illustrative, non-limiting embodiment,templates are described using an XML-based “normal” form. One of skillin the art will understand that templates may be described usingalternative data representations. An XML-based “normal” form is awell-defined format that facilitates the exchange of templates betweenNMAS and NMC instances. However, XML has significant overhead costs andis not always compatible with configurations and storage methodsrequired for specific applications. In these cases, a template may betranslated to a native format more conducive to its intended use, aswill be well understood by those having skill in the art. While innormal form, XML-based standards, such as those listed below, can beused to describe various aspects of the template's representation. Otherstandards or proprietary formats may be used when a template is storedin other than normal form.

Template Structure Standard Basic template structure XML, as definedwithin this document and its appendices Digital Signatures, Digests, etcWS-Signature standard. Conditional expressions XQuery standard Externalreferences, including service, URI template, schema, and otherdefinitions

Templates and template fragments can be stored, transmitted, andrepresented in many forms, including: flat files, delimited files,tag-value pairs, binary formats, LDAP, and NMC internal representations.For example, a template representation of a DNS server configuration maybe defined by the operator using the XML “normal” form, or exported andshared between NMAS or NMC instances in this form, and converted to aflat file suitable for configuring the Unix Bind application when storedin a CU instance responsible for configuring a DNS Bind serverapplication. Similarly, this template may be stored within an LDAP-styledirectory compatible with Microsoft Active Directory when the DNS serverbeing managed is hosted on a Microsoft Windows Server.

5.2.10.1 Template Prioritization

In some exemplary embodiments, templates may include a Priority templateelement, provided to support prioritization of templates. The Prioritytemplate element specifies a priority for the template, with templateshaving higher priorities superseding templates with lower prioritieswhen these templates conflict, e.g., when carrying out the processingrequired by a first template would require ignoring and not fullycarrying out the processing required by a second template. For example,a low priority template specifying that a CU is to collect all examplesof TCP/IP traffic can conflict with a higher priority template thatspecifies not to collect any traffic from a specific device when thatdevice generates TCP/IP traffic. A CU receiving both of these templateswould limit performance of the lower priority template's processingrequirements such that the higher priority template is obeyed andcollect all TCP/IP traffic except that from the specified device. Insome embodiments, lower priority templates are not ignored due toconflicts with higher priority templates; all templates are followed tothe extent possible without failing to abide by the requirements ofhigher priority templates. In situations where templates do notconflict, template priorities are irrelevant. For example, a templaterequiring a CU to collect all TCP/IP “telnet” application data does notconflict with a template requiring a CU to ignore ICMP “echo” request orresponse data. In some embodiments, conflicting templates with identicalpriority values require intervention (e.g., operator intervention).Until such intervention is accomplished, various exemplary embodimentsdeal with the problem in diverse ways, such as ignoring all suchconflicting templates, arbitrarily selecting conflicting templates toignore until the conflict is resolved, choosing to ignore the mostrecently created templates in favor of older templates, choosing toignore older templates in favor of more recent templates, or by othermeans as determined to be appropriate by those having skill in the art.

5.2.10.2 Template Referencing

In some exemplary embodiments, templates that are uniquely identifiedcan be referenced by other templates. In addition, templates canreference NMCs, NMASs, executable code or scripts, images, web services,and other external systems, data and applications. In one exemplary,illustrative, non-limiting embodiment, this is accomplished using“Uniform Resource Identifiers” (URIs), as defined by the World Wide WebConsortium (W3C) standards organization. URI format and semantics aredefined in the RFC 2396 standards document. Briefly, a URI defines aprotocol part and a reference part. The protocol part defines the methodor manner by which the reference is to be made. An NMAS or NMC providesfor the extension of the protocol part and the association of protocolparts with specific handlers using a Configuration Policy.

In one example, a template data query scheme according to one aspectprovides a substantially unified mechanism for specifying a reference toa desired component, whether NMAS, NMC, code, data, or another template.Under the URI protocol extension model, any of the conventions used inthe various application deployment models may be used to specify thereference. The NMAS reference specification section of a templateidentifies the calling convention and any required information.

For example, a template may specify a specific NMAS instance as:

NMAS:://1.2.3.4/;TYPE=NMAS;PROCESS ID=765;LISTEN PORT=7700

Where 1.2.3.4 is the network address of the host the NMAS instance isinstantiated on.

Furthermore, a template can specify an NMC executing on its own as, forexample:

NMC://5.6.7.0/;TYPE=CU;PROCESS ID=98765;LISTEN PORT=7700

A device, such as a network router, can be specified as, for example,:

DEVICE://7.6.5.4/;TYPE=router;MANUFACTURER=“RouterMaker, Inc.”;MODEL=xyz

A template is not limited in how it can specify a specific component andparameters as long as this specification can be encoded in a form thatis understood by all components making use of the template, such as aURI in an exemplary embodiment. This method of specification can beextended using a Configuration Policy.

5.2.10.3 Template Elements

Examples of some common template elements are described below and usedin additional exemplary template descriptions herein.

Element Description Template Type Indicator of the type of a giventemplate (a TTI) Indicator Template Indicator Indicator of start or endof template specification Template Reference Reference to anothertemplate Template Separator Indicator of an internal template divisionpoint Template Name Descriptive name of a template Template ID Uniquemachine readable ID (a TID) Template Version ID Descriptive version oftemplate (e.g. 1.3) Authenticity Authenticity specification, in XML. Forexample, Specification an XML Signature. Template Priority PriorityValue (e.g. “high”/“low”, an integer, etc.) Processing ElementSpecification of the device, device type, NMC, Specification NMC type,or other entity specification that is assigned, or permitted, to processthe template

In some embodiments, a Template Type Indicator (TTI) identifies the typeof a given template, such as a Data Element Definition Template, anApplication Code Definition Template, or a Trust Domain SpecificationTemplate. In other exemplary embodiments, TTIs comprise integer values,with specific integer values being associated with each type oftemplate, for example, a TTI for a Trust Domain Specification Templatecan be ‘1’, a Data Element Definition Template can be ‘2’, etc. In otherexemplary embodiments, TTIs comprise character strings, with a differentcharacter string assigned to each template type, such as the name of thetemplate (e.g. “Trust Domain Specification Template”, “Data ElementDefinition Template”, etc.). In yet other exemplary embodiments TTIscomprise a combination of integers and character strings, XMLspecifications, or other specifications unique to each type of templateas determined to be proper by those having ordinary skill in the art.

In one exemplary embodiment, a Template Indicator defines the start orend of a template specification. A Template Indicator is a unique tagand may not have any data associated with it. It may have an optionalattribute called “descr” that contains a text description of thetemplate contents. For example, the attribute can be defined as depictedin the example below:

-   -   <TEMPLATE descr=“working template created on Jan. 1, 2002”>

In some embodiments, a Template Reference references an instance ofanother template, either by Template ID or a combination of TemplateName and Template Version ID. In one exemplary, illustrative,non-limiting embodiment, optional parameters, (e.g., an internal flagwithin the reference) determine how the reference is interpreted, howversion ID's are managed, and the action(s) to take if the templatereference cannot be satisfied. In a further exemplary, illustrative,non-limiting embodiment, a Template Reference can be represented by afully or partially specified URI, a relational database row ID, an LDAPorganization unit, a Document Object Indicator (DOI), or any othermethod determined to be proper by those having skill in the art.

In some template embodiments, a Template Separator is used when theboundary of a logical section of a template must be indicated. Forexample, if a template comprises a plurality of item groups, use of aTemplate Separator can make parsing of the individual item groups fromthe template as a whole, a simpler task. In another example, if a firsttemplate can optionally be broken down into a plurality of secondtemplates, such as when assigning a plurality of tasks to a CUG and thetasks must be allocated to two or more CUs within the CUG, TemplateSeparators can be used to indicate where the first template can properlybe divided.

In some embodiments, a Template Name is a descriptive name for atemplate. An example of a suitable template name is a name that isdescriptive of the template or its intended use, e.g., the Template Namecan be “Microsoft Windows Server 2003” or “Data Routing for collectedTCP/IP data.”

In some embodiments, a Template ID is a unique ID used to uniquelyidentify a template and to permit automated references to a particulartemplate. An example of a useful template ID is one that uniquelyidentifies a specific template or template instance.

In some embodiments, a Template Version ID is a descriptive name fordescribing the version of the template. It is used to distinguishbetween multiple copies of templates with the same Template Name. Insome exemplary embodiments Template Version IDs are sequential values sothat temporal sequencing of a plurality of template copies with the sameTemplate Name can be determined.

In some embodiments, templates can comprise an AuthenticitySpecification. An Authenticity Specification is used to specify one ormore of the following: the ID of the entity that constructed thetemplate (such as by provision of a unique name and/or a reference tothe NMAS, NMC or other entity), TD Authorization Credentials (asdescribed elsewhere herein) proving current membership in an appropriatetrust domain, and sufficient information to permit validation of thetemplate as intact and unmodified in transit, such as a checksum, MD5signature or equivalent of the template, encrypted with the private keyof the entity that constructed the template to prevent alteration of thevalidation information by any other entity. In alternative exemplaryembodiments, an Authenticity Specification comprises a reference to atleast one of a set of authentication methods that are known to thereceiving NMAS, NMC or other entity. Such known authentication methodscan comprise just assuming that the template is authentic, contactingthe named entity and requesting confirmation that the template was sentby that entity, or any other method known to those with skill in theart.

Some embodiments a template may include a Template Priority. A TemplatePriority element is a machine-usable description of the relativepriority of the template with respect to other templates for use whenresolving template conflicts, as previously described. In an exemplaryembodiment, a Template Priority is an integer, with higher valuesequating to higher priorities, and lower values equating to lowerpriorities. In an alternate embodiment, a Template Priority is one of aset of symbolic representations of priority values (such as “high”,“medium” or “low”) having values relative to each other that areunderstood and usable by the exemplary embodiment's components.

In some exemplary embodiments, a Processing Element Specification (PES)is used to indicate one or more devices, NMCs, or other entities, or anycombination of these, which are assigned, or permitted, to process thetemplate. If a PES specifies a single entity, only that entity ispermitted to process the template. If a plurality of entities isspecified, the template can be processed by any one, and only one, ofthem at a given time. Under some circumstances a template comprising aProcessing Element Specification that specifies a plurality of entitiescan be processed by a plurality of entities over time. In someembodiments the PES is an ACL.

5.2.10.4 Template Fragments

Template fragments can be described by a template fragment name. Thefragment name is not an element of the template; rather it is ashorthand description used to describe the contents and use of thetemplate fragment. As such, the template fragment concept is dynamicallyextensible to include additional types not described in this document asadditional applications are defined and deployed on or by the NMAS.Below are some exemplary template fragments.

Template Fragment Name Description Classification Defines a deviceclassification specification to Signature be used by a CU Data ElementDefines information to be collected by a CU Definition Data DefinitionDefines information collected by a CU Application Code Definesapplication code to be executed Policy Defines information thatspecifies how a NMAS or NMC should operate. Also used to specify theexpected or required configuration of devices, services, andapplications managed by an NMAS or NMC. Access Credentials Definesaccess credentials Data Routing Defines how collected data is to behandled and Specification where it is to be stored Data Storage Defineshow a DM is to accept, manage, share, and Definition protect its dataTrust Domain Defines TD membership and/or privileges withinSpecification a TD NMC Association Defines an association between two ormore NMCs Template (e.g. a CUG)

Classification Signature, Policy, and Access Credential templates aredescribed in U.S. patent application Ser. No. 11/175,407.

A Data Element Definition is used by a TM to name and/or describe dataelements that are to be collected from devices, applications, andservices under management by CUs. Data Element Definitions are fragmentsof Data Element Definition Templates, as described below.

A Data Definition provides a mechanism for representing data collectedby a CU. Data Definitions are fragments of Data Definition Templates, asdescribed below.

An Application Code Definition specifies the applications code(component or application) to be used, but does not actually provide thecomponent. An Application Code Definition is a fragment of anApplication Code Definition Template, as described below.

A Policy defines information that specifies how a NMAS or NMC shouldoperate. A Policy is also used to specify the expected or requiredconfiguration of devices, services, and applications managed by an NMASor NMC. The format and content of Policy elements areimplementation-specific, but typically will use XML to specify therequired information.

Access Credentials specify credentials, such as ACL Identifiers,associated with a template in a verifiable form, such as being encryptedby the private key of an issuing authority.

The Data Routing Specification provides a mechanism for representing howdata collected by a CU is to be sent to one or more DMs. Data RoutingSpecifications are fragments of Data Routing Specification Templates, asdescribed below.

The Data Storage Definition provides a mechanism for defining how a DMis to manage data acceptance, storage, sharing and protection of thedata sent to it by CUs. A Data Storage Definition is a fragment of aData Storage Definition Template, as described below.

A Trust Domain Specification provides a mechanism for defining trustrelationships between NMCs to allow them to operate with each other in asecure manner. A Trust Domain Specifications is a fragment of a TrustDomain Specification Template, as described below.

An NMC Association describes an association between specificinstantiations of NMCs. An NMC Association is a fragment of an NMCAssociation Template, as described below.

5.2.10.5 Data Element Definition Template

A Data Element Definition Template defines information used to name thedata elements that should be collected from devices, applications, andservices under management. In exemplary embodiments this template isconfigured with more robust data element definitions such as the abilityto specify that data should not be collected from a particular device, atype of device, a type of service, or a particular server. This isuseful for limiting workload on collectors, reducing network trafficinvolved with transferring collected data and the dynamic applicationsthat collect it, and supporting the distribution of required datacollection activities across a plurality of data collectors. In oneexemplary, illustrative, non-limiting embodiment, a Data ElementDefinition Template is structured as an XML document that conforms tothe XML schema provided by a “Point of Management Template.” An XMLattribute, such as “NOT”, is used to negate the sense of a specificationfield that describes a data element. For example, the Data ElementDefinition Template can define that Telnet session data should becollected as follows:

-   -   Address=*, port=23 Telnet server port on any device

And that data should not be collected as follows:

Address=1.2.3.4, port=23, NOT Ignore telnet server on device withaddress 1.2.3.4

When processing Data Element Definition Templates for purposes ofdetermining whether a particular collected data element matches thetemplate, negated elements are processed first. If a negated dataelement matches, the template is considered to not match the collecteddata. For example, using the data elements described above, if acollected data element was associated with port 23 at address 1.2.3.4,the collected data element would match the negated Data ElementSpecification template item, and so the Data Element Specificationtemplate would not match the collected data element.

If the collected data element was destined for port 23 at any otherdevice address, such as 2.2.2.2, the negated data element would notmatch, and remaining items in the Data Element Definition Template wouldbe compared, such as the non-negated item that specifies any address,shown above. Because the non-negated element specifies port 23 on anymachine, it would match, and the Data Element Definition Template wouldmatch the collected data in this case.

Negated elements also can make use of “wildcard” descriptions, such as:

-   -   Address=*, port=23, NOT Ignore telnet server on all devices

An example Data Element Definition Template comprises the elementslisted below:

Element Description Template Indicator Indicator of start/end oftemplate specification Template Name Descriptive name of templateTemplate ID Unique machine readable ID (a TID) Template Version IDDescriptive version of template (e.g. 1.3) Authenticity Information forverifying authenticity of the Specification template Assigned To CUcurrently assigned to collect the specified data elements PriorityPriority Assigned to this template Data Element A tag-only XML documentthat names the data Specification elements to be collected and/or notcollected.

The Assigned To element specifies a reference or unique identifier, orboth, for the CU that is to collect the specified data elements. In somealternate embodiments the Assigned To element can specify a plurality ofCUs each of which is to collect the specified data elements.

The Data Element Specification content is implementation dependent, andinstallation dependent. The open-ended nature of XML documents permitspecification of any required data items that might be of interest to anNMAS. For example, device status, network traffic load or content, theload being placed on the host device by the NMC, the current date andtime determined from the host device's clock, or information about theNMC itself, such as software version, locally stored dynamic applicationlist, available data cache space and current utilization, or any otherdata that can be collected by the NMC or by dynamic or embeddedapplications available to it. This capability is used in some exemplaryembodiments to enable TMs to monitor the status of the NMCs they manage.

5.2.10.6 Data Definition Template

In some embodiments, a Data Definition Template provides a mechanism forrepresenting data collected by a CU. In one exemplary embodiment, theform selected is XML that conforms to a schema provided by a “Point ofManagement Template.” An example Data Definition Template comprises theelements depicted below.

Element Description Template Indicator Indicator of start/end oftemplate specification Template Name Descriptive name of templateTemplate ID Unique machine readable ID (a TID) Template Version IDDescriptive version of template (e.g. 1.3) Authenticity Information forverifying authenticity of the Specification template Priority Priorityassigned to the collected data Data Data

The Data element defines the stored information. In one exemplary,illustrative, non-limiting embodiment, it is an XML structure, withcollected data expressed as the values associated with specific elementtags. In some exemplary embodiments values are encoded so as to betransportable and usable between devices with different architectures(e.g. varying in byte or word size, character encoding, bit order, etc.)using means well understood by those having skill in the art.

In some cases, a Data Definition Template is called a ForensicsTemplate. A Forensics Template is the name for the data collected by aCollector, that can not be processed, when packaged into a portable datastructure for sharing between NMC instances. Such data may be shared insupport of automated collection, forwarding, and classification ofpreviously unrecognized information, and the subsequent reduction ofthis information to a classification signature template, and optionallyfor production of dynamic applications that can process the data, topermit recognition and processing of such data if it is encounteredagain. In this way the capabilities of NMASs to deal with protocols,devices and applications are extended as technology changes over timeand new devices, protocols and applications are discovered on monitorednetworks.

5.2.10.7 Application Code Definition Template

In some embodiments, an Application Code Definition Template specifiesparticular application code (component or application). The templatecontains a component reference or the actual application or component.

Element Description Template Indicator Indicator of start/end oftemplate specification Template Name Descriptive name of templateTemplate ID Unique machine readable ID (a TID) Template Version IDDescriptive version of template (e.g. 1.3) Authenticity Information forverifying authenticity of the Specification template Component ReferenceComponent reference Component Actual component

The Component Reference element specifies the component to be used, butdoes not actually provide the component. A Component Reference mayinclude execution subsystem specification (e.g. Java 1.4RE).

The Component element contains the component to be used. One particularcomponent that can be specified when necessary is the “Null” component.The Null component is used when the Application Code being definedshould perform no processing. Exemplary embodiments implementApplication Code that performs no useful processing and specify suchcode as the Component element. Alternative exemplary embodiments definea unique Component Reference value that is known to the ApplicationsManager, Template Manager, and other aspects as indicating that nocomponent or application should be invoked.

5.2.10.8 Data Routing Specification Template

In some embodiments, a Data Routing Specification Template describeswhere data is to be sent, allows data to be routed differently based ondata priority or characteristics, provides information useful for“fallback” processing when preferred destinations are not reachable andincludes authentication materials that may be necessary to accessstorage locations, such as database systems or file servers.

Element Description Template Indicator Indicator of start/end oftemplate specification Template Name Descriptive name of templateTemplate ID Unique machine readable ID (a TID) Template Version IDDescriptive version of template (e.g. 1.3) Authenticity Information forverifying authenticity of the Specification template Route To Referencereference to the DM to store data to, or CU to route data throughAuthorization Optional authorization credential for access to CredentialDM or CU Data Priority Priority level required in Data DefinitionRequired Template for this Routing Template to be used Priority IncreaseAmount of temporary priority increase to assign Data CharacteristicsSpecification of data characteristics, such as type, source, protocol,collection time, or other, required to match template

The Route To Reference element specifies a reference to the NMC to senddata to for storage or forwarding. In some exemplary embodiments thiscan comprise a URI useful for establishing a connection to thedestination NMC. In other exemplary embodiments this can comprise aTCP/IP address and port number, a routing table entry specification, arelational database row ID, and NMC identifier usable by a mobile agentfor identification of one or more NMCs, an LDAP access specification, orother method for specifying an NMC and the information required tocommunicate with it as will be well understood by those having skill inthe art.

An optional Authorization Credential element provides authenticationmaterials required to access the referenced destination NMC. These cancomprise Trust Domain keys, passwords, encrypted access keys, ACLidentifiers, or any other materials required that effect authorizationof an NMC, such as a SAML assertion, digital certificate, Kerberosticket, or Public Key Infrastructure (PKI) method involving a trustedCertificate Authority (CA).

An optional Data Priority Required element specifies the minimumpriority level required of a Data Definition Template Priority elementfor this Data Routing Specification Template to be a match for use inrouting the given Data Definition Template. This permits implementationof “failover” configurations, where data is preferentially routed in afirst configuration, but where data can be routed in one or more secondconfigurations when the data has sufficient priority. Additionaldescription of this mechanism is provided below.

An optional Priority Increase element included in the Route To Referencespecifies a temporary priority increase that can be given to a DataDefinition Template when all matching Data Routing SpecificationTemplates for the Data Definition Template specify destinations that arenot reachable. This permits implementation of “failover” configurations,where data is preferentially routed in a first configuration, but wheredata can be routed in one or more second configurations when the firstconfiguration becomes unusable for any reason. Additional description ofthis mechanism is provided below.

An optional Data Characteristics element specifies characteristics, suchas type, source, protocol, collection time, or other characteristicsthat a Data Definition Template may need to match to be routed using agiven Data Routing Specification Template.

5.2.10.9 Data Storage Definition Template

In some embodiments, the Data Storage Definition Template describes theconfiguration of Data Manager instances, such as data structures,optional conversion specifications to convert from a previous version ofthe data store, and authentication information. Data Storage DefinitionTemplates are used by Data Managers to define, at least in part, theirdata store management activities.

Element Description Template Indicator Indicator of start/end oftemplate specification Template Name Descriptive name of templateTemplate ID Unique machine readable ID (a TID) Template Version IDDescriptive version of template (e.g. 1.3) Authenticity Information forverifying authenticity of the Specification template Data Storage URIthat describes the data store Definition Authorization Optionalauthorization credential for access to Credential data store CreationLink to the NMC application that creates the data Application store.Generally, a link to the appropriate data store manager. UpdateApplication Link to the NMC application that updates the data store tothe newest version. Generally, a link to the appropriate data storemanager. Update Specification to use in order to update the dataSpecification store to a new version. Delete Application Link to the NMCapplication that deletes the data store and the data contained therein.Generally, a link to the appropriate data store manager.

In one exemplary embodiment, a Data Storage Definition element isencoded as a URI. Note that a URI provides mechanisms for definingprotocol, network machine path, directory path, and optional parameters.The Data Storage Definition may thus describe specifications to anyarbitrary storage system, which includes storage mechanisms such as:

-   -   Shared Directory structures (e.g. LDAP);    -   MIBs;    -   Databases;    -   Logging systems;    -   Storage services (SOAP-based);    -   Network Virtual Storage Systems;    -   SCADA network machine paths

The Authorization Credential describes the credential to be used toaccess the data store. These can comprise Trust Domain keys, passwords,encrypted access keys, or any other materials required that effectauthorization of an NMC, such as a SAML assertion, digital certificate,or Kerberos ticket.

The Creation, Update, and Delete Application definitions are referencesto applications that perform at least one management function of aspecific data store. Typically, these are defined as references to adata store manager application that manipulates the specific type ofdata store desired. The Update Specification element is a translationspecification that is used by the application referenced in the UpdateApplication element to migrate the data from a first data store to asecond data store. The Update Application and Update Specification areused when a data store must be updated and previously stored dataretained.

5.2.10.10 Trust Domain Specification Template

According to one aspect, a Trust Domain Specification Template providesa mechanism for defining trust relationships between NMCs to allow themto operate with each other in a secure manner. Trust DomainSpecification Templates are implemented in a form that can betransferred from an NMC acting as a Trust Domain Manager, to disparateNMCs in its Trust Domain. Information from Trust Domain SpecificationTemplates is used by NMCs to validate Trust Domain membership andassociated privilege levels, without requiring reference to the issuingTM. This enables NMCs to interact, such as in CUGs, when access to a TMis not possible, such as after an unplanned network segmentation event.

Element Description Template Indicator Indicator of start/end oftemplate specification Template Name Descriptive name of templateTemplate ID Unique machine readable ID (a TID) Template Version IDDescriptive version of template (e.g. 1.3) Authenticity Information forverifying authenticity of the Specification template Trust Domain IDUnique machine readable TD ID Issuing TM Reference to the TM that issuedthe Trust Domain Specification Template TM Public Key The publicencryption key of the issuing TM TD Authorization Authorizationcredential for access to the TD Credential Privilege SpecificationDescription of what TD Authorization Credential permits

The Trust Domain ID is a unique machine-readable identifier used toidentify the particular Trust Domain that the template applies to. WhenNMCs belong to a plurality of Trust Domains, this provides a simple wayto label information and activities related to particular Trust Domains.

The Issuing TM is a reference to the Task Manager that is acting asTrust Domain Manager for the Trust Domain the template relates to. Thereference permits communication with the TM as required to update,cancel, or perform other activities related to Trust Domain management,such as requesting membership in the TD.

In some exemplary embodiments, Trust Domains use a form of public keycryptography, such as that used by the SSH protocol, for signing certaininformation to allow the source and validity of the information to bedetermined without requiring access to the TM that controls the TD. TheTM Public Key is the encryption key required to decrypt data that hasbeen encrypted with the TM's private key. If a block of encrypted datacan be correctly decrypted using the TM Public Key, it is taken as proofthat the TM produced the data block and all members of the TD can trustthe decrypted contents, because only the TM has access to the TM'sprivate key value. The TM Public Key is provided to each member of theTD as part of the Trust Domain Specification Template that grants themmembership in the TD, so each member of the TD has the ability tovalidate that data originated with the TM of the TD.

TMs in some exemplary embodiments can generate new public/private keypairs and issue new Trust Domain Specification Templates to currentmembers of the TD. This can be done periodically, whenever an NMC leavesa TD, at the request of an operator, or for any other reason asdetermined to be proper by those having skill in the art. In someexemplary embodiments, the new Trust Domain Specification Templates canbe completely or partially encrypted using the previous TM private keyto allow NMCs to verify that the new template originated with their TD'sTM. In other exemplary embodiments the TM sends a request for each NMCto contact the issuing TM for their TD to request a new Trust DomainSpecification Template. Such requests can, in some alternativeembodiments, comprise a public key associated with the NMC. Encryptionof the returned Trust Domain Specification Template with the NMCs publickey assures that only the NMC can decrypt and use the Trust DomainSpecification Template, since only the NMC will possess the private keyneeded to perform the decryption. These two methods of ensuring that theTrust Domain Specification Template is from a valid source can becombined, or other methods can be used, as determined by those havingskill in the art. Similar capabilities can be implemented using sharedkey encryption systems.

A TD Authorization Credential is a TM private-key encryptedrepresentation of a reference to the NMC combined with the PrivilegeSpecification. The NMC reference and Privilege Specification arecombined using a method known to all NMCs, such as concatenation, or inexemplary embodiments where both values are structured as XML; bothvalues can be included as child elements of a common root element. Thosewith skill in the art will be aware of other appropriate methods. Thecombined NMC reference and Privilege Specification are encrypted usingthe TM's private key, and the result is stored in the template as the TDAuthorization Credential. If the TM Public Key can be used to correctlydecrypt the TD Authorization Credential, and the result matches acombination of the NMC reference and the Privilege Specification, thenthe Privilege Specification is valid for the referenced NMC, andprovides specification of what privileges the NMC has within the TD.

When an NMC is making requests of other TD members, inclusion of the TDAuthorization Credential template fragment in the request, providesproof of membership in the TD as well as specification of the privilegesthe requesting NMC possesses within the TD. A TD AuthorizationCredential template fragment can, in some exemplary embodiments, beencoded as a digital certificate.

In some exemplary embodiments, the Privilege Specification is a list ofACL Identifiers. In alternative embodiments, the Privilege Specificationspecifies one or more privilege categories, such as “high”, “medium” or“low” that are understood to be associated with permission to perform orrequest certain operations. In yet other alternative embodiments, aPrivilege Specification is a software object, function, or otherprogrammatic device that is useful to determine authorization to performor request specific operations.

5.2.10.11 NMC Association Template

In some embodiments, NMC Association Templates describe an associationbetween two or more NMCs, with information necessary for the NMCs tocommunicate, share information, assist each other in performing theirtasks in a semi-autonomous fashion, and permit other NMCs to manage orwork with the association in various ways. NMC Association templates areused to define CUG membership for CUs in a CUG, and to provide necessaryinformation about the CUs in the CUG to all CUG members and to allmanaging TMs.

Element Description Template Indicator Indicator of start/end oftemplate specification Template Name Descriptive name of templateTemplate ID Unique machine readable ID (a TID) Template Version IDDescriptive version of template (e.g. 1.3) Authenticity Information forverifying authenticity of the Specification template AuthorizationOptional authorization credential for access to Credential data storeAssociation ID Unique machine readable ID for an association of NMCsAssociation References to all association member NMCs MembershipAssociation Authentication information to enable associationAuthentication members to recognize each other

The Association ID element comprises a unique, machine-readableidentification value for a particular association of NMCs. It is used torefer to a particular association when specifying behavior of allassociation members, claiming membership in an association, using amobile agent to communicate with one or more members of an association,or otherwise needing a reference to the association.

The Association Membership element comprises a list of NMC references.Each member of the association is referenced by one or more elements ofthe list. The list is useful for establishing contact between members ofthe association.

The Association Authentication element comprises authenticationcredentials useful for permitting a first association member to prove toa second or disparate association member that it is a current member ofthe association. When an association member is removed from anassociation for any reason, the Association Authentication element ofthe NMC Association Template for each association member is updated toprevent prior members of the association from acting as associationmembers. In some alternative embodiments, an Association Authenticationelement may comprise an expiration time, after which the AssociationAuthentication element is not considered valid by members of theassociation. This enables temporary associations to be formed and tohave them dissolved even if there is no access to a TM at the time theassociation is to end.

5.2.10.12 Request-Response Template

In some embodiments, Request-Response Templates describe a request madeby a first NMC of a second NMC, and are used by the second NMC to returnthe results of the request to the first NMC. There is no limitation onthe nature of such requests, other than that the description of therequest must be understood by both the first and the second NMC, and thesecond NMC must be equipped to respond appropriately, or have theability to acquire an ability to respond appropriately, such as by useof a dynamic application. The Request-Response Template is used tocommunicate status, request behavior changes, share information orapplications, coordinate transfer of tasks between CUs in a CUG, requestdynamic applications, and permit interaction between NMASs and NMCs asrequired.

Element Description Template Indicator Indicator of start/end oftemplate specification Template Name Descriptive name of templateTemplate ID Unique machine readable ID (a TID) Template Version IDDescriptive version of template (e.g. 1.3) Authenticity Information forverifying authenticity of the Specification template Priority Priorityof the request Request ID Requestor-assigned unique ID for the requestRequest/Response Request Description or Response Description

The Request ID element is used by the requestor to associate a givenrequest with the response template when it arrives back from the entitythat performed the request. The entity servicing the request transfersthe Request ID from the request template into the response templatebefore sending the response.

The Request/Response element defines the request in a request template,and the response in a response template. In one exemplary, illustrative,non-limiting embodiment, it is an XML structure, with the request orresponse expressed as the values associated with specific element tags.In some exemplary embodiments values are encoded so as to betransportable and usable between devices with different architectures(e.g. varying in byte or word size, character encoding, bit order, etc.)using means well understood by those having skill in the art.

5.2.11 Collection Unit Groups (CUGs)

In some exemplary embodiments, CUs can be organized by TMs intosemi-autonomous association groups referred to as “Collection UnitGroups” (CUGs). Members of a CUG can be co-located on a single device,or located on disparate devices anywhere on a network, or both, providedthere is means for the CUG members to communicate with each other. Insome exemplary embodiments, a single TM can create, monitor, or manage aplurality of CUGs. In some exemplary embodiments, a single CUG can bemonitored or managed by a plurality of TMs. A CU can be a member of oneor more CUGs at any particular time, and can be removed from a CUG oradded to another CUG at any time, be a member of any number of CUGs overtime, or of a given CUG a plurality of times.

In some exemplary embodiments, CUs in a CUG share tasks between CUGmembers so as to balance resource usage (e.g. memory, CPU time, orcommunication bandwidth) between them and make more efficient and lessdisruptive use of available device and network resources. This is termed“load balancing” herein. The tasks that are assigned to the CUG as awhole are monitored and managed by one or more TMs, and in many ways aCUG can be viewed as a single distributed CU. In some exemplaryembodiments initial task assignment is made to a particular CU within aCUG, not to the CUG as an entity. The assigned CU can then perform thetask, or transfer it to another CUG member. In alternative embodiments,tasks are assigned to the CUG with the template specifying the taskbeing sent to one or more CUG members. CUG members then decide betweenthemselves which CU is to perform the task.

In some exemplary embodiments, member CUs within a CUG monitor eachother for connectivity and continued existence using one or more methods(e.g. detecting message traffic to a DM, TM or CU, process statuschecking when instantiated on the same device, “heartbeat” messageexchange between CUs in a CUG, requesting status updates from eachother, etc.). In some exemplary embodiments, CUs in a CUG can re-assign(“failover”) the tasks of a CU that becomes unavailable, such as happenswhen the CU loses network connectivity or the device it is instantiatedupon shuts down. In some exemplary embodiments, this failover isaccomplished using the CUG load balancing capability by treating alltasks assigned to a lost CU as having been requested for load balancetransfer. The remaining CUs in the CUG then use the load balancingmechanism to determine which CU will take over each task.

In some scenarios, the failover capability of CUGs can be invoked eventhough the “failed” CUs in question are still operating normally, suchas when a network becomes segmented with one or more CUs that aremembers of a CUG being located in diverse network segments. In such ascenario the CUs in each isolated segment continue to function, but arenot able to communicate with the CUs located on segments isolated fromtheir segment. This lack of communication can, in some exemplaryembodiments, result in a failover event where the CUs on a first segmentre-allocate the tasks assigned to the CUs on a second segment, and theCUs on a second segment re-allocate the tasks assigned to the CUs on afirst segment. Similar patterns of behavior result when a plurality ofsegments are created, such as when a network hub fails and isolates allof the network segments connected through it. The failover methodsdescribed herein result in all tasks being performed by one CU oranother, despite the segmentation event. In some cases where failoveroccurs even though the isolated CU(s) continue to operate (such as in anetwork segmentation situation) there may be tasks that will beperformed by a plurality of CUs, and duplicate data will then becollected. The duplicate data can be handled by normal DM processing, asdescribed elsewhere herein, and does not pose a problem. At worst therewill be a plurality of copies of the data, which is preferable in mostcases to failing to collect the data.

When CUG members have had their tasks failed-over to other CUG members,and then re-establish communication with the other members of the CUG,such as when their host reboots, the network segmentation issue iscorrected, the CU is reinstantiated, etc., re-allocation of tasks can beperformed. In some exemplary embodiments, this is done automatically byeach CU in the CUG that took over a task as part of failover simplyceasing to perform that task and recording it as being performed onceagain by the originally tasked CU. In alternative exemplary embodiments,the CU that took over the task as part of failover processing contactsthe originally tasked CU and a load-balancing process is followed todecide which CU is to continue performing the task. This can benecessary in scenarios where the loss of connectivity was brief enoughthat the originally tasked CU did not recognize the loss of connectivity(such as when using periodic “heartbeat” messages to monitor CU status,and the loss of connectivity happens between the heartbeat checks of oneCU, but during the heartbeat check of another). Such load balancingcommunication can, in some exemplary embodiments be done on atask-by-task basis, while other alternate exemplary embodiments dealwith coordination of all involved tasks in a single load balancingoperation. In still other alternate embodiments, re-allocation is dealtwith by performing a load-balancing operation within the CUG as a wholeon each task that was failed-over.

In some exemplary embodiments, re-integration of a CUG after one or moreevents have resulted in the tasks of one or more CUs being failed-overis not performed immediately upon contact being re-established. In someexemplary embodiments the re-allocation of tasks in a CUG can involvesignificant resource consumption, and it is desirable to minimize this,especially when the problem that resulted in the failover event isintermittent and continues for some time before being corrected. If oneor more CUG members were isolated once by a network segmentation, orlost due to a host failing, etc. it is possible that the event couldrepeat, and in such scenarios it is better from the standpoint ofresource consumption (e.g. CPU, network bandwidth consumption, etc.) notto re-allocate tasks within the CUG immediately, but to wait to see ifconnectivity will remain intact first. The more time that passes withouta repeat of the failover event, the more likely it becomes that theproblem has been corrected, and the lower the average resource cost forre-allocating tasks within the CUG. For this reason, some exemplary CUGembodiments calculate a reliability score for each CUG member, and donot re-allocate failed-over tasks to a CUG member until the reliabilityscore for that member reaches a threshold value. Reliability scores areimplementation-specific, but could be, for example, a function of thetime since the last event that caused a CU's tasks to be failed-over,the number of failover events within a specified period of time, theaverage length of time that a CU has remained in contact with other CUGmembers in a specified period of time, or a combination of these orother factors.

In some exemplary embodiments, CUs in a CUG share tasks andconfiguration data with each other. This enables TMs to send suchinformation to any member of a CUG (or, in some exemplary embodiments,to a designated “master” CUG member that acts as a communication gatewayand/or coordinator for the CUG) and have it replicated to each member,without TM sending it to each of them separately, or using a broadcastmethod to send to all CUG members at once. In some exemplaryembodiments, when an assigned collection task, as represented by a DataElement Definition Template, is passed between CUG members, the TM thatissued the task is informed of the change to permit it to keep track ofwhich CUs are performing specific tasks. This information is useful whendeciding which CU to assign future tasks to. In alternative embodimentsthe assigning TM is not informed of the task transfer in order tominimize network bandwidth use and load on the TM. Creation of CUGs andthe resulting load balancing and task failover between them minimizesload imbalance between members without any requirement for external ormanual task reassignment. Such automatic load balancing can reduce theworkload of TMs and in some instances reduce associated network trafficotherwise required to convey redeployment or reconfiguration commandsfrom TMs to CUs.

In other exemplary embodiments, CUs within a CUG share dynamicapplications. When a first CU in a CUG receives, whether by request to aTM or by other means, a dynamic application, it can forward a copy ofthat dynamic application to one or more second CUs within the CUG.Alternatively, in still other exemplary embodiments, a first CUreceiving a dynamic application can send a notification of this event toone or more second CUG members. The CUG member(s) receiving suchnotification can, if their available resources permit and the usefulnessof the dynamic application warrants it, request that the dynamicapplication be forwarded to them by the first CU. Such forwarded dynamicapplications can be put to use immediately, stored for possible lateruse (such as when a task assigned to the first CU that involves use ofthe dynamic application is transferred to a second CU), and/ortransferred, or offered, to one or more third CUs in the CUG. Suchsharing of dynamic applications within a CUG reduces work load for TMs,reduces bandwidth for network segments between the CUG members and TMs,and reduces task startup delay when a task is transferred between CUGmembers, since the CU taking over the task will not have to request thedynamic application from a TM, but may already have the dynamicapplication stored or running

In some exemplary embodiments, task management within a CUG is donecooperatively in a peer-to-peer manner. CUG members communicate witheach other to decide which CU is to perform a given task, and noindividual CU acts as coordinator. One method of implementing such asystem involves each CU “bidding” for a given task, and if it has thehighest bid, it assumes the task and the other CUs in the CUG do not. A“bid” can be calculated in various ways. For example, a bid can be afunction of the current task loading of the CU making the bid (e.g. thelower the task loading, the higher the bid), a function of the resourcesavailable to the CU (e.g. the greater the resource level, such as CPU,bandwidth, etc. the higher the bid), or any other appropriate factors asdetermined by those having skill in the art, or a combination of any ofthese. A CU that is incapable of performing a given task, for exampleone that has no connectivity to a network segment or device that is tobe monitored, does not bid for that task. If no CU bids for a task, theTM issuing the task is informed by use of a Request-Response Template,or in alternative embodiments, by other means, and notify a humanoperator, make a log entry, put off performance of the task, createadditional CUs, or by other means as determined to be appropriate bythose having skill in the art. A CUG comprising a single CU willautomatically assign all tasks to that CU. A CUG comprising a pluralityof CUs uses the bidding method to determine which CU performs each taskassigned to any of them.

In alternative exemplary embodiments, one or more CUs in a CUG arechosen to be “masters”, and are responsible for assignment of tasks tothe CUs in the CUG, whether initial assignment, load balancingre-assignment, or fail-over re-assignment. In some exemplary embodimentssuch master CUs can be of a different type than other CUs, while instill other exemplary embodiments the CUs are of similar types, andmerely perform different roles. In exemplary embodiments where masterCUs are of specialized types, assignment of the master CU role isperformed implicitly by the TM when it instantiates such CUs. Inexemplary embodiments where the CUs are of similar types, but performdifferent roles, the master CUs can be assigned to that role by a TM insome exemplary embodiments, or in alternative embodiments, can bedetermined by the CUs in the CUG in a manner similar to that describedabove for bidding on task assignments. In such embodiments, a CU winninga bid for master takes on that role and those not winning do not. It ispossible in some exemplary embodiments to have a plurality of master CUsin a CUG and in such embodiments the master CUs are responsible forcoordinating task assignment between themselves. In exemplaryembodiments having CUs of similar types and using a master CUarrangement, a TM can assign one or more CUs to be masters instead ofusing a bidding system, or to override a bidding system where this isappropriate.

In some exemplary embodiments, a subset of CUs within a CUG can betasked with discovery of devices, protocols or applications, with theremaining CUs in the CUG refraining from performing discoveryactivities. This can be done to reduce redundant discovery activities,permit discovery to be performed on host systems best suited for thetask, or for other reasons. A CU performing discovery activities in suchexemplary embodiments can be the “master” CU in a CUG, or a CU or CUsdifferent from the “master” CU or CUs.

One embodiment illustrating such communication is shown in FIG. 10,which depicts the network of FIG. 3A superimposed with lines ofcommunication and control (10110, 10120 & 10130) between a TM (10092)and two individual CUs (10032 & 10098) and three other CUs (10026,10024, & 10022) that have been grouped together to form a CUG (10180),the CUs within the CUG communicate with each other using their own linesof communication (10150, 10160 & 10170). The TM (10092) can sendtemplates representing tasks, data routing or other configuration orwork to any CU in the CUG (10026, 10024 or 10022) over a networkcommunication pathway (10110) and the receiving CU'(s) may relay thetemplates to the other CUG members (10150, 10160 & 10170). Templatesthat apply only to a subset of the CUG members, such as NMC AssociationTemplates defining CUG membership configuration, can be sent directly tothe CU(s) they apply to, or through another CU in the CUG, whichforwards them but otherwise ignores them. This permits the TM (10092) toconfigure a plurality of CUs with a single transmission, which canreduce network bandwidth required by the network management system.

5.2.11.1 CUG Formation

In some embodiments, CUGs are formed when a TM sends an NMC AssociationTemplate to one or to a plurality of CUs. The NMC Association Templatespecifies the CUG group ID, identifies the CUs in the group, andprovides required connection and authentication information to enableCUG members to interact with each other. FIG. 11 is a flowchartdepicting one example of a process that occurs when a first CU receivesan NMC Association Template that makes it a member of a CUG (11010).Information from the NMC Association Template is added to the first CU'sRegistry for future reference (11020). The next step is for the first CUto establish communication with the disparate CUs having membership inthe CUG (11030) using information in the NMC Association Template tolocate, connect to and authenticate with each disparate CU.

When a new CUG is being formed, the disparate CUs perform the sameprocessing steps as the first CU. In some exemplary embodiments, each CUin the CUG establishes a connection, which can result in a plurality ofconnections between each pair of CUs in the CUG. In other exemplaryembodiments, the first connection established between a pair of CUs,whether established by a first CU or a second CU, satisfies theconnection requirement between those CUs, and the other CU of the pairattempts no additional connections.

When a first CU is being added to an existing CUG, the first CUestablishes connections with each of the disparate CUs in the CUG. Thefirst CU next provides its existing Data Element Definitions to thedisparate CUs of the CUG (11040). These Data Element Definitions aremarked as non-executable and do not cause the disparate CUs to begincollection of the data elements described. Each of the disparate CUsprovides its own Data Element Definitions to the first CU as well(11050), also marked as non-executable. The sharing of these DataElement Definitions is to enable the task of collecting the specifieddata elements to be transferred from a first CU to one or more disparateCUs as part of load-balancing or fail-over within the CUG, should thatbecome necessary, without a requirement for a TM to provide the DataElement Definition Templates to the CU(s) accepting the tasking. Theprovided data element definitions become executable by one or more CUsat such time as there is transfer of the tasking due to load balancingor fail-over. The first CU then establishes monitoring of the disparateCUs in the CUG (11060). The disparate CUs in the CUG will also establishmonitoring of the first CU (not shown). Monitoring is for detection ofloss of CUs, such as occurs when the device the CU is instantiated uponshuts down or loses connectivity to the network for any reason.Monitoring can be periodic, as through a monitoring dynamic applicationbeing scheduled to be run when desired by the Maintenance Scheduler, orcontinuous, as through active probing or sensing of the disparate CUusing a “heartbeat” method as understood by those having skill in theart. The first CU then notifies all controlling TMs, the one that sentthe NMC Association Template and any others exercising control over theCU, of the new CUG membership (11070), after which the process ofjoining the CUG is complete.

5.2.11.2 CUG Load-Balancing

CUs, like other NMCs, use the resources of the hosting device they areinstantiated upon. These resources are limited, and in most cases theNMCs should not use host resources to the extent that other processingbeing done by the host is adversely affected. When an NMC is tasked suchthat its use of host resources exceeds a configured or calculated limitintended to prevent adverse impact on other host processing, the NMC issaid to be “overloaded”. Most NMCs deal with overloading by informing acontrolling TM, and waiting for the TM to reassign tasking to reduce theNMC's load. In some exemplary embodiments, CUs that are part of a CUGhave an alternative, and preferred, method they can employ to reducetheir use of host resources: CUG Load Balancing.

In some exemplary embodiments, when a CU in a CUG becomes overloaded bythe collection, pre-processing or other tasks it is performing, itattempts to transfer some tasks to other CUs in the CUG to reduce itsworkload. This is referred to herein as “load-balancing,” because theeffect of each CU shifting tasks to another CUG member that is morelightly loaded results in the total workload of the CUG being balancedbetween the member CUs in a manner proportional to their abilities toperform it. This balancing of workload between members of a CUG does notrequire management by a TM, or even a current communication link betweenthe CUG members and a TM. The CUG handles the shifting of tasking in anautonomous fashion. In some exemplary embodiments TMs are notified assoon as possible after the CU task transfer has been completed. Inalternate embodiments, TMs are not notified of the change in tasklocation.

FIG. 12 depicts a pair of flowcharts that describe the steps performedby a first CUG member requesting to reduce its workload by aload-balancing request (12000) to a second CUG member and the stepsperformed by a second CUG member upon receiving the load-balancingrequest (12005), according to one embodiment. The requesting first CUdetermines that it is overloaded, and that load balancing is thepreferred method of reducing workload in the step (12010). It nextidentifies some portion of its tasking, represented by Data ElementDefinition Templates (or equivalent internal representations of these),that is resulting in the overload condition in the step (12020). Thespecific task items chosen depend upon a plurality of factors, such asthe resource(s) that the CU is overusing (e.g. CPU time, memory, I/Obandwidth, cache space, etc.) and which Data Element DefinitionTemplate(s) assigned to the requesting CU are having the greatest impacton the resource(s). The requesting CU then sends a load-balance requestin the step (12030) to all members of the CUG, specifying the DataElement Specification Templates it wants to transfer responsibility for.It then waits for other CUG members to accept or reject the request. Ifthe request is rejected in the step (12040) by all CUG members, theprocess terminates. The first CU can attempt to reduce workload by othermeans, such as informing a controlling TM that it is overloaded (the TMcan remove some tasking and assign it to a non-CUG member CU, createadditional CUs, add additional CUs to the CUG, etc.), or temporarilydeferring low priority collection tasks. If the request is accepted inthe step (12040) by one or more CUG member CUs, the requesting CUselects one of the accepting responders to send an affirmativeacknowledgement to and sends negative acknowledgements to all others inthe step (12050). The method of selecting a CUG member to accept fromthose responding with willingness to accept the tasking isimplementation dependent and can be as simple as choosing the firstacceptance response that arrives, or can involve more complex processes,such as round-robin selections over time, use of load factor figuressupplied by each responder, a “bidding” system as described previouslyherein, or other methods as considered appropriate by those having skillin the art. Once the accepting second CU has been notified in the step(12050), the requesting first CU marks the Data Element Specificationsas non-executable and assigned to the accepting second CU in the step(12060). In some exemplary embodiments, the requesting first CU may haveto perform an “Update In Place” operation to cause its Collectorplug-ins to recognize the change in tasking, as described herein. Insome exemplary embodiments, the requesting first CU then notifies itscontrolling TM(s) of the re-assignment of the tasking in the step(12070).

Continuing with FIG. 12, the processing that takes place on members ofthe CUG that receive the request sent by the requesting first CU in thestep (12030) comprises the following steps. The load-balance request isfirst received by one or more second CUs in the step (12015). Thecurrent workload, and available resource levels, of each receivingsecond CU is evaluated by those receiving second CUs in the step(12025). If the second CUs are found to be insufficient to supportadditional workload (12035), or if a receiving second CU does not havecapability, in terms of network connections or otherwise, to perform therequired data element collections, the receiving second CU sends anegative acceptance to the requesting first CU in the step (12095) andthe process is complete for that second CU. If the workload, availableresources, and capability to perform the required data elementcollections appear sufficient to support the additional tasking in thestep (12035), the receiving second CU sends an acceptance to therequesting first CU in the step (12045) and waits for an acknowledgementor a negative acknowledgement from the requesting first CU. If therequesting first CU sends back a negative acknowledgement in the step(12055), the process is complete for that second CU. If the requestingfirst CU sends back an affirmative acknowledgement in the step (12055),the receiving second CU marks the data element specifications asexecutable and assigned to itself in the step (12065). In some exemplaryembodiments, the second CU may be required to perform an “Update InPlace” operation to cause its Collector plug-ins to recognize the changein tasking. The receiving second CU then notifies all CUG members of thereassignment of the tasking in the step (12075) so they can update theirown registries with this information. The information is useful indetermining the tasking that must be re-assigned should the receivingsecond CU be lost for any reason. The final step in some alternativeembodiments is the receiving second CU notifying its controlling TMs ofthe reassignment of the tasking in the step (12085), after which theprocess is complete for that CU.

5.2.12 Trust Domains (TDs)

The exemplary, illustrative technologies described herein furtherprovides systems, software, and methods for the management of trustrelationships between its various component parts so as to permit aflexible arrangement of these components for the collection and safesharing of data in a controlled manner, as well as the secure andflexible management of the systems and software. In one embodiment,components with established trust relationships are referred to assharing a “Trust Domain” (TD). In a more specific embodiment, TDmembership is independent of the origin, location or use of a component.In other embodiments, components can be added to a TD, removed from aTD, belong to a single TD, to a plurality of TDs at once, or to a singleTD at a time but a plurality of TDs during its existence. Those havingordinary skill in the art will appreciate that the physical location ornetwork address of a component has no bearing on the TD(s) it can belongto, provided that there is, or was at the time the component was made apart of a TD, a network connection, whether continuous or intermittent,between the component and the TM(s) that manage the TD(s) it belongs to.In some exemplary embodiments, the physical location or network addressof a component can be used as a factor in determining which TDs it ispermitted to be a member of. This is useful in cases where the componentcan collect sensitive data and permitting such data to be stored outsideof a limited set of hosts is not permitted by policy. Configuring NMASsand NMCs instantiated on those hosts as a separate TD aids incontrolling handling and access to such data.

In some exemplary embodiments, membership in a given TD is proven by useof a TD Authorization Credential, as described above. These are providedto TD members as part of a Trust Domain Specification Template. When anNMC is a member of a plurality of TDs, it will possess TD AuthorizationCredentials for each TD of which it is a member.

In some exemplary embodiments, trust domains comprise sets ofpermissions associated with various entities that allow or prohibitrequests made by a first entity to a second entity from being fulfilled.Within a given TD, entities can possess or not possess permissions tomake requests of other entities. Entities that are not within a given TDpossess no permissions to make requests of entities that are within thatTD and any requests that are made are ignored or rejected and may alsobe logged in some exemplary embodiments. TMs configure initial TDmemberships and permissions for the dynamic NMCs that they instantiate,or which they share a TD with and have permission to configure TDmembership for. Initial TD memberships and permissions for TMs arespecified by Configuration Policies. Each TM is automatically a memberof a TD that includes at least itself. NMCs on a network can share a TDor be members of separate TDs. An NMC can be a member of a single TD ora plurality of TDs. NMCs on disparate networks can be members of thesame TD.

In some exemplary embodiments, trust relationships within a Trust Domainare absolute, with any component in the TD having full control over anyother component in the TD. Alternatively, in other exemplaryembodiments, trust relationships within a TD can be variable orrelative, with different permissions being defined for variouscomponents and interactions. For example, an NMC in a TD can have theright to request that data be collected about a particular device, butnot have the right to request that the resulting data be routed to aparticular DM, or to alter the TD membership or rights of any component,or to request that data about a different device be collected.

FIG. 13 depicts one embodiment in which the network of FIG. 3A includestwo TDs: Trust Domain A, which is comprised of a single TM (13082), asingle DM (13083), and three CUs (13088, 13078 & 13024) and Trust DomainB, which is comprised of a single TM (13082′), a single DM (13087), andone CU (13086). The two TDs, A and B, are disjoint, which preventseither TM (13082 & 13082′) from controlling, configuring, or removingthe CUs or DM of the other. The NMCs that belong to the TD's A and B maybe able to share network connectivity, see the same network traffic, andcollect the same data, but they cannot access each other's DMs nor haveany control over each other's configuration or activities. If either TMcreates a CUG, the CUs of one TD cannot be members of a CUG in the otherTD. All members of a CUG must share at least one TD.

FIG. 14 depicts an embodiment in which the network of FIG. 3A includestwo TDs: Trust Domain A, which is comprised of a single TM (14092), asingle DM (14034), and two CUs (14022 & 14032) and Trust Domain B, whichis comprised of a single TM (14082′), a single DM (14087), and two CUs(14084 & 14073). The two TMs of the two TDs, A and B, each hasmembership in the other's TD as well as its own TD. In addition, one CU(14073) is a member of both TDs.

In some exemplary embodiments, membership in both TDs gives both TMs(14092 & 14082′) equal control over the NMCs in both TD A (14034, 14022& 14032) and TD B (14087, 14084 & 14073). In other exemplaryembodiments, permissions derived from membership in a TD can be limitedin various ways by the TM granting membership in the TD. For example,the TM of TD A (14092) may have granted permission to the TM of TD B(14082′) for access to the DM of TD A (14034) for purposes of storingdata, but not granted any other permissions, such as permission tochange the TD membership of the DM of TD A (14034) or to interact in anyway with the CUs of TD A (14022 & 14032), such as by assigningcollection tasks, defining data routing, or forming CUGs. Because CU(14073) is a member of both TDs, in some exemplary embodiments it couldbe included in CUGs in either TD, store data in the DMs of either TD(14034 or 14087), route data indirectly through the CUs of either TD(14022, 14032, 14084 or 14073), and in all other ways perform as amember of either TD. In other exemplary embodiments, CU (14073)'sprivileges to function in these ways can be limited as configured byeither of the TMs that have permission to so configure CU (14073).

FIG. 15 depicts one embodiment in which the network of FIG. 3A includesthree TDs: Trust Domain A, Trust Domain B, and Trust Domain C. TD Acomprises a TM (15062), a DM (15087) and three CUs (15063, 15073 &15084). TD B comprises three TMs (15082, 15092 & 15082′), three DMs(15083, 15087 & 15093), and six CUs (15088, 15078, 15084, 15032, 15024 &15022). TD C comprises two TMs (15092 & 15082′), a DM (15093), and fiveCUs (15088, 15078, 15024, 15022 & 15032). Some CUs are members of morethan one TD. CUs (15088, 15078, 15024, and 15022) are members of both TDB and TD C. CU (15084) is a member of both TD A and TD B. Two TMs aremembers of multiple TDs. TM (15092) is a member of both TD B and TD C,and TM (15082′) is a member of both TD B and TD C. Some DMs are membersof more than one TD. DM (15087) is a member of TD A and TD B. DM (15093)is a member of TD B and TD C. The dashed lines (15150, 15155, 15160,15165, 15170, 15175, 15180, 15185, 15190, 15195 & 15197) indicateintra-CUG communication connections, used to coordinate activitiesbetween CUG members. Solid lines (15110, 15115, 15120, 15125, 15130,15135, 15140, 15142 & 15145) indicate where control and reporting flowsexist between TMs (15062, 15082, 15092 & 15082′) and the various CUs andCUGs that each manages. For example, the TM of Trust Domain A/B (15062)has control over its own CUG (15063 & 15073), which no other TM cancontrol, as well as its own CU (15084), which can also be controlled bythe TM of TD B (15082), which it shares a TD with. Likewise, one of theCUs of TD B (15032) can be controlled by both the TM that instantiatedit (15082) and the TMs of Trust Domain C (15082′ & 15092), which it hasbeen configured to share a TD with.

In embodiments where a plurality of TMs have control over a given NMC,it is possible that the NMC can receive conflicting commands. Forexample, a CU can be given a request to discover devices in a particularaddress range, and be given another request to ignore devices in thesame or overlapping address range. In some exemplary embodiments, theNMC resolves such conflicts by granting priority to the TM thatinstantiated it, and ignoring or rejecting the conflicting commands fromother TMs. In other exemplary embodiments, the NMC resolves the conflictby granting priority to the TM making the most recent request, andignoring, rejecting, or overriding prior requests. In still otherexemplary embodiments, a TM having the requisite permissions toconfigure the behavior of the NMC can specify the priority order to usein resolving such conflicts. Such priority order specification can nameTMs individually, or specify them by ACL identifiers, or in any otherway determined to be appropriate by those having skill in the art.

As can be seen with the trust relationships between TD B and TD C, thesame type of TD membership plurality also can apply to CUGs (15024/15022& 15088/15078). All members of a CUG must share at least one TDmembership to permit tasks and data routing to be exchanged betweenthem. If this rule were not followed, with only some members of a CUG ina first TD belong to a second TD, and the TM of the second TD assigned adata collection task to the CUs of the first TD having dual TDmembership, that task could be exchanged with a CU in the first TD's CUGthat does not hold dual TD membership, thus allowing the second TM toconfigure CUs in the first TD that are not members of the second TM'sTD, which is not allowed. For example, if CU (15024) was not a member ofTD B and was only a member of TD C, and TM (152082), which is in TD B,assigned a data collection task to CU (15022), which is in both TD B andTD C, and CU (15022) exchanged that task with CU (15024) (they are in athe same CUG), then CU (152024) would be performing a task assigned by aTM (15082) that is not in any TD that CU (15024) is a member of, whichviolates the rules of TDs.

In some embodiments, when an NMC belongs to a plurality of TDs, theTM(s) of a first TD that the NMC belongs to can configure the NMC tocollect, store, or share data, giving the NMCs of the second TD accessto that data. In some exemplary embodiments, membership in the TD mustbe accompanied by appropriate privilege settings (such as by ACLIdentifiers) to permit such a configuration. In some networkconfigurations such data sharing can allow the NMCs of the second TD toobtain data that would otherwise not be available. For example, in FIG.16, the network of FIG. 3A includes two Trust Domains: TD A, comprisedof one TM (16082′), one DM (16087), and three CUs (16084, 16086 & 16032)and TD B, comprised of two TMs (16082′ & 16092), two DMs (16034 &16093), and two CUs (16032 & 16098). Note that CU (16032) and TM(16082′) are members of both TDs. There is also a device (16010) that isvisible to CU (1603)2, but not visible to the other CU of TD B (16098).

Prior to CU (16032) being made a member of TD A, the NMCs of TD A haveno way to access data collected (16034) from Device (16010), becausethat device is not visible to the Tokyo Office LAN (16060′). Once CU(16032) is made a member of TD A as well as TD B, it can be configuredto route data (16110) collected from Device (16010) to the DM of TD A(16087) as well as routing data (16120) to a DM of TD B (16034), thenNMCs of both TDs have access to the data from Device (16010). This formof sharing CUs across TD boundaries is referred to herein as “Model 1”.

FIG. 17 is a flow chart that describes one embodiment of a procedureused to establish a Model 1 CU sharing arrangement. The process beginswhen the TM of TD B (TM-B) sends a Request-Response Template to the TMof TD A (TM-A) requesting access to a CU collecting data for the deviceof interest in step (17100). Based on the Configuration Policy of TM-A,the request can be denied, which ends the process, or it can be grantedin step (17110). If it is granted, TM-A looks for a CU that iscollecting data from the device in step (17120). If there is no such CU,TM-A either tasks an existing CU to do so, or instantiates a new CU tocollect data from the device in step (17130). The CU is configured to bea member of TD B in step (17140), and TM-B is notified that the CU isavailable to it by returning an appropriate Request-Response Template inthe step (17150). TM-B then configures the CU to collect and store therequired data for TD B in step (17160) and the process is complete. Inan alternative exemplary embodiment, TM-A can configure the CU tocollect the required data and store it in a DM that TD B has access to,or has specified in its request, if such DM is also a member of the TDof TM-A and TM-A has any permissions required to do so.

FIG. 18 depicts an embodiment in which the network of FIG. 3A includestwo TDs: TD A, comprising a TM (18082′) two CUs (18084 & 18086) and twoDMs (18087 & 18034), and TD B, comprising a TM (18092), two CUs (18098 &18032) and two DMs (18093 & 18034). There also is a device (18010),which is visible to CU (18032), but not visible to the CUs of TD B(18084 & 18086). If DM (18034), where CU (18032) is storing the data itcollects from device (18010), is made a member of TD A as well as TD B,it can be configured to replicate the data collected from the device(18010) in DM (18087), where it can be accessed by other NMCs of TD A.Alternatively, NMCs of TD A can access DM (18034) directly due to theirshared TD membership. Likewise, if DM (18087) is made a member of TD Bas well as TD A, it can request replication of the data collected fromthe device (18010) and other NMCs of TD A then can access the data fromDM (18087). In this scenario the other NMCs of TD A would not be able toaccess DM (18034) because they would not share a TD membership; however,the NMCs of TD B could access DM (18087) due to their shared TDmembership. In some exemplary embodiments, such sharing and access canbe limited by a requirement for specific privileges in addition toshared TD membership. This form of sharing DMs across TD boundaries isreferred to herein as “Model 2.”

FIG. 19 describes one embodiment of a procedure used to establish aModel 2 sharing arrangement. The process begins when the TM of TrustDomain B (TM-B) sends a request to the TM of Trust Domain A (TM-A)asking for access to a DM that is storing data for the device ofinterest in step (19200). Based on the Configuration Policy of TM-A, therequest can be denied, which ends the process, or it can be granted instep (19210). If it is granted, TM-A looks for a DM that is storing datafrom the device and the DM is configured to be a member of Trust DomainB in step (19220), and the DM is configured to share data with DMs ofTrust Domain B in step (19230) and the process is complete.

FIG. 20 depicts one embodiment in which the network of FIG. 3A includestwo TDs: TD A, comprising a TM (20082′) two CUs (20084 & 20086) and a DM(20087), and TD B, comprising a TM (20092), two CUs (20098 & 20032) andtwo DMs (20093 & 20034). There is also a device (20010), which isvisible to CU (20086) of TD A, and also visible to CU (20032) of TD B.None of the NMCs of either TD share membership in the other TD. Both CUs(20032 & 20086) collect data from the device (20010) and store it intheir respective DMs (20093 & 20087). This form of separate datacollection without sharing across TD boundaries is referred to herein as“Model 3.”

In some exemplary embodiments, when an NMC is made a part of a TD, it isgiven a Trust Domain Specification Template by the controlling TM of theTD. The Trust Domain Specification Template provides the several piecesof information, as described above, which are useful for permittingtrusted interactions within the TD without requiring communication withthe TM to provide validation of each interaction. For NMCs instantiatedby a TM, the Trust Domain Specification Template can be provided as anembedded or included template so that the NMC has at least one TDmembership. Additional TD memberships can be provided as embedded orincluded templates or can be dynamically provided at any time by a TMwith an appropriate privilege specification and TD membership.

In other exemplary embodiments, in addition to being made a member of aTD by a TM, an NMC also can request membership in a TD. As depicted inthe flowchart of FIG. 21, one embodiment of such a process begins withthe NMC sending a request for TD membership (in the form of aRequest-Response Template) to the TM that controls the TD in the step(21010). The TM checks the Configuration Policy to determine whether TDmembership should be granted in step (21020). The decision can beautomatic based on the content of the Configuration Policy, which maylist permitted devices, device types, address ranges, or otherspecifications, or it can be manual, with a human operator being queriedfor permission. If access is not granted in step (21020), a rejection issent to the requesting NMC in step (21025) and the process is complete.If access is granted in step (21020), the TM determines the appropriateprivileges to grant in step (21030) based on the Configuration Policy,operator input, or both, and sends a Trust Domain Specification Templatecontaining the TD credentials and other information to the requestingNMC in step (21040). The requesting NMC stores the template informationin its Registry in step (21050) and the process is complete.

In some embodiments, NMCs can leave, or be removed from, TDs as well asjoin them. FIG. 22 comprises a flow chart depicting one example of sucha process for removing an NMC from a TD in an exemplary embodiment. Insome embodiments, the TM initiates removal of one or more NMCs (e.g. atoperator request, based on Configuration Policy settings, or for otherreasons), and in other scenarios the NMC can request removal from the TDin the step (22010). Regardless of the reason for removal, the method ofremoval involves the remaining members of the TD being issued an updatedTrust Domain Specification Template, based on a new encryption key, sothe next step in the process is for the TM to generate a newpublic/private encryption key pair in step (22020). The TM thengenerates new Trust Domain Specification Templates containing the newpublic key value and sends these to the remaining NMCs in step (22030).The remaining NMCs replace their old Trust Domain Specification Templateinformation with information from the new templates in the step (22040)and the process is complete. NMCs that were removed do not receive newTrust Domain Specification Templates, and so do not have credentialsthat validate with the new public keys issued to the remaining NMCs, andso are effectively barred from participation in the TD. In alternativeembodiments, the update of the Trust Domain Specification templates caninvolve the TM notifying remaining TD member NMCs to send requests forupdated Trust Domain Specification Template information, as describedelsewhere herein.

5.2.13 Data Routing

FIG. 23, which depicts the network of FIG. 3A superimposed with lines ofdata flow (23105, 23110, 23115, 23120, 23125, 23130, 23135, 23140,23145, 23150, 23155, 23160, 23165 & 23180) resulting from embodiments inwhich each CU routes collected data directly or indirectly to one ormore DMs. In more specific embodiments, a CU may route data to a DMlocated on the same device, as with CU (23088) routing data to DM(23083). Alternately a CU may route data r to a DM located on adifferent device, as with CU (23063) routing data to DM (23083). In someembodiments, the CU routes data to a single DM directly, as the CU(23084) does to the DM (23087) over the network link (23063). In someembodiments, a CU routes data directly to a plurality of DMs, as the CU(23032) located on the DB Server in the D.C. Office is depicted as doingover the links (23160) and (23120). A first CU can route data indirectlythrough one or more second CUs, as the CU (23078) is depicted doingusing the CU (23026) and the CU (23088). Note that a first CU (23026)can route data for a plurality of second CUs (23078 & 23024). A CU canroute data indirectly to a plurality of DMs, as the CU (23073) isdepicted doing, using the two CUs (23084 & 23086). Note that because theCU (23086) routes its data through the CU (23084), the CU (23084) mightsee the data collected by the CU (23073) more than once; the first timedirectly from the CU (23073) and again by way of the CU (23086). The DM(23087) eliminates duplicate data and stores only a single copy.Alternatively, the DM can store both copies, with or without details ofthe route taken by the data, if such information is deemed worthwhile bythose having skill in the art.

FIG. 23 also illustrates embodiments in which a DM (23068) accepts datafrom a single CU (23063), or from a plurality of CUs (23093), even ifthe CUs are located on different network segments (23083), or if the CUsare routing data to a plurality of DMs (23032).

In some embodiments, CUs send data to DMs on the same device they areinstantiated on (e.g. 23088 to 23083), in other embodiments, to anotherdevice on the same Local Area Network (LAN) (e.g. 23024 to 23034), andin still other embodiments, to a DM on a remote network (e.g. 23063 to23083), or to two or more DMs wherever located (e.g. 23032). In yetother embodiments, a first CU (23024 or 23073) sends data to a second CU(23026 or 23084) for relaying to a DM (23034 or 23087), e.g., forpurposes of efficiency, due to limitations of hardware, or for otherreasons. In some embodiments, such relaying by CUs also is done when thefirst CU (23078) is on a different device from the second CU (23026).Where a given CU sends data depends on the configuration of the CU andpotentially on the CUs ability to connect to various DMs when configuredfor prioritized sending with alternative DMs to deal with intermittentor unreliable DM availability. CUs can be configured to send data to asingle DM (23088), send duplicate copies of data to two or more DMs forredundant storage (23032), send data to various DMs based on the type ofdata, where or when it was collected, or based on other factors thatwill be clear to those having skill in the art.

In some embodiments, Data Routing Specification Templates provided by aTM provide data routing and pre-processing specifications, and supportfailover to alternate data routing specifications based on NMCreachability as well as data priority. This is advantageous because itincreases the flexibility of the overall management process to support avariety of network topologies. Specifically, the ability to change datarouting and pre-processing permits the deployment of CUs in situationswhere a DM is not readily available, in circumstances where persistentlyavailable communications between the CU and the DM are not available,and in circumstances where a plurality of CUs are used to monitor asingle network resource and the collected monitoring information iscombined at the DM. When a plurality of CUs collect the same data, theDM can be configured to eliminate the duplication and store only asingle copy of the data from one of the CUs that collected it.Alternatively, in some exemplary embodiments, a single copy of the datacan be stored, with separate record being made of each of the CUs thatcollected the data. In other exemplary embodiments, separate copies ofthe data are retained from each CU that collected it. When there are nooverriding Data Routing Specification Templates present, the collecteddata storage specifications implicit in the design of the CU determineshow data is to be routed and stored. For example a CU can be designed tocache data locally until polled by a DM by default.

5.2.13.1 Priority and Data Routing

In some exemplary embodiments, priority values associated with specificData Storage Definition Templates or Data Routing SpecificationTemplates can affect how data is processed and routed. For example,normal priority data can be routed to a particular DM, with thereceiving DM's configuration causing it to distribute the collected datato other DMs during scheduled data synchronization sessions, while highpriority data is routed to a plurality of DMs directly to reduce thedelay in having the high priority data visible to all DMs and the NMCsthat access them. Normal priority data, in this example, is not routeddirectly to all DMs in order to reduce network traffic load and CUworkload when delay in disseminating information is acceptable. In otherexemplary embodiments priority values can be assigned in finerincrements than the binary high/normal just described, such as by use ofnumerical values, with larger values having higher priority than smallervalues, by calculations involving current traffic load, data priority,time of day or other factors, or by other means as will be understood bythose having skill in the art. As can readily be seen by those withskill in the art, the principle of sending higher priority data bydifferent routing than lower priority data remains the same, regardlessof the method of specifying relative priority values.

In some exemplary embodiments, a temporary increase in priority of alltransmitted data can be defined by a Data Routing Specification Templatefor situations when the DM or DMs specified by the Data RoutingSpecification Template are not reachable. This increase in priority cancause additional Data Routing Specification Templates to be used, whichcan result in the data being routed to a DM or DMs that are reachable.This use of alternative routing specifications when a given destinationNMC is not reachable is referred to herein as “fallback.” The priorityincrease is temporary, and confined to the CU that is transmitting thedata; it is not a change in the priority specified in the DataDefinition Template itself, and does not apply in other NMCs that mayrelay or forward the Data Definition Template.

FIG. 24 is a diagram depicting a CU (24010), and some of the elements ofits three Data Routing Specification Templates (24100), as well as thefour DMs it routes data to: DM1 (24020), DM2 (24030), DM3 (24040) andDM4 (24045) according to an exemplary embodiment. In the exemplaryembodiment depicted, priority values comprise positive integers, withlarger integer values describing higher priorities, and smaller integervalues describing lower priorities.

Data is routed to a particular DM when the priority of the data (thePriority element of the Data Definition Template containing the data),plus any temporary priority increase applied by the CU, is equal to, orgreater than, the Data Priority Required element of the Data RoutingSpecification Template. In the example depicted by FIG. 24, all data isrouted from the CU (24010) to DM1 (24020) over the network route(24050), because the Data Priority Required for that Data RoutingSpecification Template is zero, and no data Priority value can be lessthan zero. Data with Priority element values greater than 19additionally is routed (24060) to DM2 (24030) over the route (24060).Data with Priority element values greater than 99 additionally isrouted) to DM3 (24040) over the route (24970). Data with Priorityelement values greater than 999 additionally is routed to DM4 (24045)over the route (24080).

Continuing with the discussion of FIG. 24, temporary priority increaseis applied to data that matches one or more Data Routing SpecificationTemplates, but which cannot be sent to any destination due to thespecified destination(s) not being reachable. For example, datacontained in a Data Definition Template with a Priority element of 30would match the Data Routing Specification Template that routes data toDM1 (24020), because a priority of 30 is greater than the Data PriorityRequired element of 0 required by that template, and to DM2 (24030),because the priority of 30 is greater than the Data Priority Requiredelement of 20 required by that template. The other two Data RoutingSpecification Templates would not match, because they require a Priorityelement value of 100 and 1000, respectively, and 30 is less than eitherof these. If the Route To Reference elements of the matching DataRouting Specification Templates DM1 (24020) and DM2 (24030)) specifydestinations that are not reachable, the data cannot be sent with itscurrent Priority value, and so a temporary priority increase operationis performed to find a “fallback” destination to route the data to. Thetemporary priority increase chosen is the smallest increase that resultsin a match with a Data Routing Specification Template with a reachableRoute To Reference destination. In the example illustrated in FIG. 24,there are two Data Routing Specification Templates that the datapriority matches, but which do not specify reachable destinations, andthe Priority Increase values of these templates are candidates for usein temporarily increasing the priority of the data to be sent. Thetemplate specifying DM1 (24020) has a Priority Increase value of 100,and the template specifying DM2 (24030) has a Priority Increase value of50. 50 is less than 100, so 50 is chosen as the temporary priorityincrease value. The temporary priority increase value is added to thepriority of the data, 30, and a temporary priority value of 80 isobtained. This value still does not match a Data Routing SpecificationTemplate with a reachable destination, so the next largest PriorityIncrease value, 100, is selected and added to the data priority value of30, resulting in a temporary priority value of 130. This priority valuematches the Data Routing Specification Template that specifies DM3(24040) as the destination. DM3 (24040) is reachable, so the data isrouted (24070) to DM3 (24040) and the process is complete. The DataDefinition Template with the data arrives at DM3 (24040) with a Priorityvalue of 30, because temporary priority increases are not stored in thetemplate and are discarded once the priority increase operation iscomplete. The data is not routed to DM4 (24045), because even with thetemporary priority increase to 130, the resulting priority does notmatch the value of 1000 required to route data (24080) to DM4 (24045).

FIG. 25 shows an exemplary process flow chart that describes theprocessing involved in selecting destinations to transmit prioritizeddata to and from a CU, with or without a temporary priority increase.The first step (25010) is to compare the Priority element of the DataDefinition Template to be transmitted to each of the CU's Data RoutingSpecification Template Data Priority Required elements. A list iscreated, comprising those Data Routing Specification Templates thatmatch the Data Definition Template's Priority element specification(i.e., the Data Definition Template Priority value is greater than, orequal to, the Data Routing Specification Template's Data PriorityRequired element). If no matches are found in step (25020), an errorcondition results in step (25060) because the CU has no validdestinations to send the data to. In some exemplary embodiments, theerror is resolved by increasing the Priority element value of the DataDefinition Template to the smallest value found in any of the CUs DataRouting Specification Templates and the procedure is restarted. In otherexemplary embodiments, the error is reported to an operator or to a TM,the CU is given a new or updated Data Routing Specification, and theprocess terminates. Still other exemplary embodiments can provide otherprocesses for resolving the error condition, as may be determined to beappropriate by those having skill in the art.

If at least one match is found in step (25020), the CU next determinesif the destination specified by the Route To Reference element of thematching Data Routing Specification Template is reachable, for eachmatching template. If one or more destinations are reachable asdetermined in step (25030), the data is sent to the matching, reachable,destinations in step (25090) and the process is complete. If nodestination is reachable as determined in step (25030), a list of thePriority Increase values for the Data Routing Specification Template inthe destination list is created in step (25040). A search is made forthe smallest value in the Priority Increase list that, when added to thePriority element of the Data Definition Template of the data to be sent,results in a match with at least one additional Data RoutingSpecification Template in step (25050). If such a value does not existas determined in step (25070), the process terminates without sendingthe data. If a priority increase value is found that matches at leastone additional Data Routing Specification Template in step (25070), andthe destination specified by the matching template(s) is/are reachableas determined in step (25080), the data is sent to the destination(s)specified by the matching template(s) in step (25090) and the process iscomplete. If at least one additional matching Data Routing SpecificationTemplate was found in step (25070), but the destination specified by italso is not reachable as determined in step (25080), then largerPriority Increase values, if any, are used to attempt to find anothermatching Data Routing Specification Template or Templates in step(25050) and the process continues until either a matching, reachabledestination is found and the data is sent, which terminates the process,or all of the Priority Increase values in the list have been triedwithout finding a matching, reachable destination and the processterminates.

5.2.13.2 Collection Unit Data Transmission Methods

In some embodiments, CUs also handle data transmission in various ways,whether the data was originally collected by a first CU or by a secondCU that is using a first CU to route the data. One example of suchembodiments is depicted in FIG. 26. In a first method (26000) a CU(26010) can send data in step (26020) to at least one DM (26030) as itis collected. This method places the lowest resource burden on thedevice hosting the CU, but can be problematic if connectivity with DM(s)is interrupted. In such instances, a CU can be configured to use analternate method of handling data, such as a second method (26100), inwhich a CU (26110) can cache data in a cache (26120) using standardcaching methods prior to sending data in step (26130) to at least one DM(26140), with send occurring at periodic intervals, when the network isotherwise idle, when cache storage reaches a predetermined state, whenthe device's interfaces are otherwise idle, or based on other criteriaas determined to be proper by those having skill in the art.Alternately, in a third method (26200), a CU (26210) can cache data incache (26220) until a DM (26230) requests the data to be sent in step(26240). Alternately, in a fourth method (26300), a CU (26310) can applyone or more rules in step (26320) to determine whether to generate anAlert or Trap (26325) based on data being sent, and which of the priordescribed methods to use to transmit the data: send immediately (26330)to the DM (26340), cache in the cache (26350) then send to the DM(26360) in step (26355), or cache the data in the cache (26370) untilthe DM (26380) requests a send (26395) in step (26390). Rules can beused to define data in various ways, such as all data, data matchingspecified criteria (e.g., from and/or to a particular device or devicetype, containing a particular protocol, collected at specified times,collected by a particular CU, collected on a particular network segment,matching a particular pattern, etc.).

When caching data for transmission, a method of avoiding cache overflowis preferred. In some exemplary embodiments, when resources for cachingadditional data are near depletion, a CU can employ a variety of methodsto reduce the chance of the cache being fully depleted. The CU canrefuse to accept additional data for relaying, which places the burdenon CUs attempting to route data indirectly, but reserves what cacheresources remain for data collected by the CU itself. If CUs attemptingto route indirectly do not have the ability to cache data, and do nothave alternate routes to send data over, data can be lost.Alternatively, a CU with insufficient remaining cache resources can sendsome or all cached data to a DM, even if the CU is configured to cachedata until a DM requests transmission. Alternatively, the CU can send arequest to one or more DMs asking that the DMs request transmission fromthe CU. If the CU cannot, for whatever reason, send data to free cacheresources, the CU can delete data from the cache until sufficient levelsof cache are restored. In deleting data, the CU uses rules that areembedded or dynamically configured into the CU, such as by use of adynamic application, to determine which data to delete. For example, insome exemplary embodiments, certain types of data can have a limiteduseful life span, after which it is no longer useful. Data that haspassed its useful life can be deleted without loss of functionality insuch embodiments. In some exemplary embodiments, data can be marked withan expiration time and deleted once this time has been reached,regardless of whether the CU is low on available cache. In suchexemplary embodiments, the expiration time also can be used by DMs todetermine data retention limits. In some exemplary embodiments, data canbe prioritized as to importance. In such embodiments, data with a lowerpriority can be deleted to create cache space for data with higherpriority. Regardless of the method used to deal with insufficient cacheresources, a CU experiencing this condition is considered to beoverloaded, and alerts one or more TMs responsible for managing the CUto this condition. One or more of the TMs can respond by reducing theload on the CU, such as by adjusting the tasks performed by the CU toreduce locally generated data, the data routing templates of CUs routingdata indirectly through the overloaded CU to cause them to route theirdata by alternate paths, the tasks performed by DMs that request datafrom the CU to cause them to poll for data more frequently, or by otheradjustments to one or more components of the network management system.

5.2.13.3 Collection Unit Data Processing

In some embodiments, CUs also have several methods by which they canprocess data prior to attempting to transmit it. Pre-transmission dataprocessing is specified as part of a Data

Element Definition Template in some exemplary embodiments. Inalternative exemplary embodiments, pre-transmission data processing isspecified as part of a Data Routing Specification Template. In yet otheralternative embodiments, pre-transmission data processing is specifiedby either of these templates, or by dynamic application functionality,by CU configuration, or by other means as will be known to those withskill in the art. Some exemplary illustrative methods are depicted inthe diagrams of FIG. 27.

In a first method (27000), the CU (27010) performs no processing on thedata, and simply passes the data on in step (8020) for transmission, asdescribed above.

In a second method (27100), the CU (27110) performs filtering in step(27120) before passing the data that survives filtering on in step(27130) for transmission as described above. Data that does not pass thefiltering process is deleted. Alternatively, in some exemplaryembodiments, data can be filtered by the collection process, and thusdata specified by the filtering specification is never collected. Forexample, if the configuration of the filter specifies that only datasent over one of two networks visible to the CU is of interest, the CUcan collect data from only that network, and not collect any data fromthe other network. Such filtering can reduce the resource requirementsof the CU. Filtering is configured statically by templates embedded inthe CU prior to instantiation and/or dynamically by templates sent tothe CU by one or more controlling TMs.

In a third method (27200), the CU (27210) performs processing of data instep (27220) prior to passing the processed data on in step (27230) fortransmission as described above. Processing is defined statically byData Routing Specification templates embedded in the CU prior toinstantiation, and/or dynamically by Data Routing Specificationtemplates sent to the CU by one or more controlling TMs. In someexemplary illustrative embodiments, CUs can process data in variousways, such as by adding annotations to identify protocols or devices,converting data to a standardized format such as XML, truncating,editing, compressing, encoding or encrypting data, extractinginformation from collected data, such as the address that originated thedata, the address the data was destined for, or the device type oridentification of the originating device. In some exemplary embodiments,CUs process data by computing derivative data, such as the rate at whicha device is generating transmissions, the average size of messages froma given device, the rate of change in message generation frequency by aparticular device or for a particular protocol, or other such data.Processing collected data in CUs in this manner can reduce the workloadand resource requirements of DMs that ultimately receive the data byshifting the processing burden to the CU. This can be desirable whenthere are many CUs for each DM, or when the CUs are hosted on systemswith large resource limits compared to the system(s) hosting the DM(s).In some scenarios, only derivative data is desired, and determining thisdata at the CU can eliminate the requirement to send the originalcollected data at all, thus reducing the network traffic load fromnetwork management system activities. By routing data indirectly throughother CUs that are configured to perform processing of data, CUs withlimited processing resources can still avoid burdening DMs.Configuration of CU processing is performed by TMs having control overthe CU.

In a fourth method (27300), the CU (27310), filters data in step (27320)and also processes data which survives filtering in step (27330), beforesending the processed data on for transmission in step (27340) asdescribed above.

In a fifth method (27400), the CU (27410) uses one or more rules in step(27420) to determine how data is to be handled. Rules can be used todefine data in various ways, such as all data, data matching specifiedcriteria (e.g., from a particular device or device type, containing aparticular protocol, collected at specified times, collected by aparticular CU, etc.) or data matching one or more specified patterns, orno data. Rules also can specify how data that meets particulardefinitions is to be dealt with, such as passing it along fortransmission as described above in step (27430), filtering the data instep (27440) to eliminate unwanted data before passing it along fortransmission as described above in step (27450), processing the data insome way in step (27460) prior to passing it along for transmission asdescribed above in step (27470), or filtering the data in step (27480)and then processing the data that survives filtering in step (27490)before passing the processed data along for transmission as describedabove in step (27495).

The data processing described herein for CUs can, in some exemplaryembodiments, be performed by DMs, such as when a first DM is forwarding,copying, or summarizing data being sent to a second DM. Such processingis specified by TMs having control over the DM.

While the invention has been described above in terms of exemplaryillustrative non-limiting implementations, it is not limited thereto.Various features and aspects of the invention may be used individuallyor jointly. Further, although the invention has been described in thecontext of its exemplary illustrative non-limiting implementations inparticular network environments, and for particular applications inthose network environments, those skilled in the art will recognize thatits usefulness is not limited thereto and that the present invention canbe beneficially utilized in any number of environments andimplementations where it is desirable to manage a collection of networkdevices and the communication networks used to interconnect the networkdevices. Accordingly, the claims set forth below should be construed inview of the full breadth and spirit of the invention.

1. A network management method comprising: deploying network collectionsoftware on a first network or subnetwork; executing said networkcollection software on a hardware component of the first network orsubnetwork; discovering, with the executing network collection software,information relating to the configuration of the first network orsubnetwork; and sharing said discovered configuration-relatedinformation with a further, trusted instance of the same or differentnetwork collection software that is also discovering informationrelating to the configuration of the first network or subnetwork tothereby collaborate network configuration discovery.
 2. The method ofclaim 1 wherein said network collection software includes a datamanager.
 3. The method of claim 1 further including remotely managing atleast some dynamic applications said network collection softwareexecute.
 4. The method of claim 3 wherein said remotely managingincludes instructing, in a trusted manner, said network collectionsoftware which dynamic applications to perform.
 5. The method of claim 3wherein said remotely managing includes forwarding information betweentrusted network collection software instances.
 6. The method of claim 3wherein said remotely managing includes moving monitoring functions fromone trusted network collection software instance to another.
 7. Themethod of claim 3 wherein said remotely managing includes providinginstructions from a task manager to plural trusted network collectionsoftware instances.
 8. The method of claim 3 wherein said remotelymanaging includes directing said network collection software to monitorand send results to a data manager.
 9. The method of claim 1 whereinsaid network collection software operates based on at least onetemplate.
 10. The method of claim 9 wherein said template comprises a donothing template.
 11. The method of claim 9 further including executingdynamic applications based on template priority.
 12. The method of claim1 wherein said first network or subnetwork communicates using a firstcommunications protocol, and said node resides on a second network orsubnetwork that communicates using a second communications protocol thatis different from said first communications protocol.
 13. The method ofclaim 1 wherein said first network or subnetwork comprises anon-traditional network.
 14. The method of claim 1 wherein said nodecomprises a data management server.
 15. The method of claim 1 whereinsaid network collection software has extensible capabilities.
 16. Themethod of claim 1 further including securely extending capabilities ofsaid network collection software using a trust domain.
 17. The method ofclaim 1 further including securely extending capabilities of saidnetwork collection software cooperatively by other network collectionsoftware instances.
 18. The method of claim 1 further includingcontrolling said network collection software using a plurality of taskmanagers.
 19. The method of claim 1 further including balancingdiscovery load between said network collection software and anotherconfiguration collection entity.
 20. The method of claim 19 wherein saidload balancing is controlled by at least one task manager.
 21. Themethod of claim 19 further including controlling said load balancingusing a cooperating network of collection entities.
 22. The method ofclaim 19 further including using a bidding process to arbitrate saidload balancing.
 23. The method of claim 19 further including controllingsaid load balancing by assigning collection tasks to said networkcollection software.
 24. The method of claim 19 further includingperforming a bidding process between master collection units andassigning collection tasks to a winning master collection unit.
 25. Themethod of claim 1 wherein said first network and subnetwork comprises anon-traditional network, and said executing comprises executing saidnetwork collection software on a gateway.
 26. The method of claim 1wherein said deploying comprises deploying said network collectionsoftware on a SCADA network.
 27. A method of collecting configurationdata for a plurality of network segments, comprising: deploying a firstcollection unit on first network segment; using said first collectionunit to collect configuration related information concerning theconfiguration of said first network segment, including filtering saidconfiguration related information using at least a first filteringprofile; deploying a second collection unit on second network segmentdifferent from said first network segment; using said second collectionunit to collect configuration related information concerning theconfiguration of said second network segment, including filtering saidconfiguration related information using at least a second filteringprofile different from said first filtering profile.
 28. The method ofclaim 27 further including restricting classes of configurationinformation at least one of said collection units monitor.
 29. Themethod of claim 27 further including prioritizing tasking to saidcollection units.
 30. A method of dynamically distributing networkconfiguration monitoring functions among plural disparate collectionunits residing in different network domains, comprising: deployingplural collection units across at least one network; pushing at leastone network configuration collection function or template to at leastsome of said deployed collection units; allowing at least some of saiddeployed collection units to pull at least one further networkconfiguration collection function or template.
 31. The method of claim30 wherein at least some of said collection units comprise mobileagents.
 32. A collection of cooperative network configuration collectionunits deployed across at least one network comprising: a firstcollection unit disposed on a first network segment; a second collectionunit disposed on a second network segment; wherein said first and secondcollection units operate together as a distributed collection unit. 33.The collection of claim 32 wherein said first and second collectionunits load balance collection tasks therebetween.
 34. The collection ofclaim 32 wherein said first and second collection units share discoveryinformation therebetween.
 35. The collection of claim 32 wherein saidfirst and second collection units are instantiated on non-traditionalnetworks.
 36. The collection of claim 32 wherein said first and secondcollection units are instantiated on gateways between traditional andnon-traditional networks.
 37. The collection of claim 32 wherein saidfirst and second collection units share dynamic applications.
 38. Thecollection of claim 32 wherein said first collection unit performs taskspreviously performed by the second collection unit when the secondcollection unit fails.
 39. The collection of claim 38 wherein saidsecond collection unit regains performance of said previously performedtasks when the second collection unit recovers.
 40. The collection ofclaim 39 wherein said second collection unit regains performance onlyafter a delay.
 41. The collection of claim 39 wherein said secondcollection unit selectively regains performance based at least in parton load balancing.
 42. A network configuration collection architecturecomprising: a first collection unit disposed on a first network segment,said first collection unit automatically collecting configurationinformation relating to said first network segment; a second collectionunit disposed on a second network segment, said second collection unitautomatically collecting configuration information relating to saidsecond network segment; and plural task managers cooperating to at leastin part control at least one of said first and second collection units.43. The architecture of claim 42 wherein said plural task managers aremembers of the same trust domain.
 44. The architecture of claim 42wherein said plural task managers are members of disparate trustdomains.
 45. The architecture of claim 42 wherein at least one of saidtask managers is instantiated on a device connected to a non-traditionalnetwork.
 46. A network discovery architecture comprising: at least onecollection unit disposed on at least one network segment, said at leastone collection unit operable to discover configuration informationpertaining to said at least one network segment; and a software-baseddata manager deployed to communicate with said at least one collectionunit, said data manager storing at least some information that supportssaid at least one collection unit.
 47. The network discoveryarchitecture of claim 46 wherein said at least one collection unit sendsdata to said data manager.
 48. The network discovery architecture ofclaim 46 further including a further collection unit disposed on afurther network segment, said further collection unit operable todiscover configuration information pertaining to said further networksegment, said at least one collection unit being configured to send datato said further collection unit that forwards said data to said datamanager.
 49. The architecture of claim 46 wherein said collection unitsforward data along a route selected based at least in part on priority.50. The architecture of claim 46 wherein said at least one collectionunit stores prepared data individually for different data managers. 51.The architecture of claim 46 wherein said at least one collection unitpushes collection data to said data manager.
 52. The architecture ofclaim 46 wherein said at least one collection unit caches and pushescollection data to said data manager.
 53. The architecture of claim 46wherein said at least one collection unit caches and preprocessescollection data, and then transmits at least part of the collection datato said data manager.
 54. The architecture of claim 46 wherein said atleast one collection unit digests and pushes collection data to saiddata manager.
 55. The architecture of claim 46 wherein said at least onecollection unit caches collection data, preprocesses the collectiondata, and makes at least part of the collection data available to saiddata manager for retrieval.
 56. A network management system operable ona first network or subnetwork, comprising: plural instances of networkcollection software deployed on at least one network or subnetwork, saidplural network collection software instances discovering, in acollaborative manner, information relating to the configuration of theat least one network or subnetwork and sharing said discoveredconfiguration-related information therebetween; and a control nodecoupled to said at least one network or subnetwork, said control nodebeing configured to communicate commands and other control informationwith said plural network collection software instances over said atleast one network or subnetwork, wherein said control mode has arelationship of trust with said plural network collection softwareinstances.